Intrusion detection and classification with autoencoded deep neural network

Conference paper

Rezvy, S., Petridis, M., Lasebae, A. and Zebin, T. 2019. Intrusion detection and classification with autoencoded deep neural network. Lanet, J. and Toma, C. (ed.) SecITC 2018: International Conference on Security for Information Technology and Communications. Bucharest, Romania 08 - 09 Nov 2018 Switzerland Springer. pp. 142-156 https://doi.org/10.1007/978-3-030-12942-2_12
TypeConference paper
TitleIntrusion detection and classification with autoencoded deep neural network
AuthorsRezvy, S., Petridis, M., Lasebae, A. and Zebin, T.
Abstract

A Network Intrusion Detection System is a critical component of every internet connected system due to likely attacks from both external and internal sources. A NIDS is used to detect network born attacks such as denial of service attacks, malware, and intruders that are operating within the system. Neural networks have become an increasingly popular solution for network intrusion detection. Their capability of learning complex patterns and behaviors make them a suitable solution for differentiating between normal traffic and network attacks. In this paper, we have applied a deep autoencoded dense neural network algorithm for detecting intrusion or attacks in network connection and evaluated the algorithm with the benchmark NSL-KDD dataset. Our results showed an excellent performance with an overall detection accuracy of 99.3% for Probe, Remote to Local, Denial of Service and User to Root type of attacks. We also presented a comparison with recent approaches used in literature which showed a substantial improvement in terms of accuracy and speed of detection with the proposed algorithm.

ConferenceSecITC 2018: International Conference on Security for Information Technology and Communications
Page range142-156
Proceedings TitleInnovative Security Solutions for Information Technology and Communications: 11th International Conference, SecITC 2018, Bucharest, Romania, November 8–9, 2018, Revised Selected Papers
SeriesLecture Notes in Computer Science (LNCS)
EditorsLanet, J. and Toma, C.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030129415
Electronic9783030129422
PublisherSpringer
Place of publicationSwitzerland
Publication dates
Online06 Feb 2019
Print01 Jan 2019
Publication process dates
Deposited12 Aug 2019
Accepted22 Oct 2018
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

The final authenticated version is available online at https://doi.org/10.1007/978-3-030-12942-2_12

Additional information

Paper published as:
Rezvy S., Petridis M., Lasebae A., Zebin T. (2019) Intrusion Detection and Classification with Autoencoded Deep Neural Network. In: Lanet JL., Toma C. (eds) Innovative Security Solutions for Information Technology and Communications. SECITC 2018. Lecture Notes in Computer Science, vol 11359. Springer, Cham

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-12942-2_12
Web address (URL) of conference proceedingshttps://doi.org/10.1007/978-3-030-12942-2
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/886q0

Log in to edit

Download files

Accepted author manuscript
www_secitc_eu_deep_IDS.pdf
File access level: Open

  • 164
    total views
  • 56
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

A novel adaptive AI-based framework for node scheduling algorithm selection in safety-critical wireless sensor networks
Al-Nader, I., Raheem, R. and Lasebae, A. 2025. A novel adaptive AI-based framework for node scheduling algorithm selection in safety-critical wireless sensor networks. Electronics. 14 (21). https://doi.org/10.3390/electronics14214198
EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry
Batool, F., Ali, K., Lasebae, A., Windridge, D. and Kiyani, A. 2025. EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry. Sensors. 25 (17). https://doi.org/10.3390/s25175250
A novel bio-inspired bird flocking node scheduling algorithm for dependable safety-critical wireless sensor network systems
Al-Nader, I., Raheem, R. and Lasebae, A. 2025. A novel bio-inspired bird flocking node scheduling algorithm for dependable safety-critical wireless sensor network systems. J - Multidisciplinary Scientific Journal. 8 (2). https://doi.org/10.3390/j8020019
A novel bio-inspired bat node scheduling algorithm for dependable safety-critical wireless sensor network systems
Al-Nader, I., Lasebae, A., Raheem, R. and Ngondi, G. 2024. A novel bio-inspired bat node scheduling algorithm for dependable safety-critical wireless sensor network systems. Sensors. 24 (6). https://doi.org/10.3390/s24061928
A novel scheduling algorithm for improved performance of multi-objective safety-critical WSN using spatial self-organizing feature map
Al-Nader, I., Lasebae, A. and Raheem, R. 2024. A novel scheduling algorithm for improved performance of multi-objective safety-critical WSN using spatial self-organizing feature map. Electronics. 13 (1). https://doi.org/10.3390/electronics13010019
A new perceptron based neural-network algorithm to enhance the scheduling performance of safety-critical WSNs of increased dependability
Al-Nader, I, Lasebae, A. and Raheem, R. 2024. A new perceptron based neural-network algorithm to enhance the scheduling performance of safety-critical WSNs of increased dependability. So In, C., Londhe, N.D., Bhatt, N. and Kitsing, M. (ed.) 8th World Conference on Information Systems for Business Management. Bangkok, Thailand 07 - 08 Sep 2023 Springer. pp. 347-366 https://doi.org/10.1007/978-981-99-8612-5_28
A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory
Al-Nader, I., Lasebae, A., Raheem, R. and Khoshkholghi, A. 2023. A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory. Electronics. 12 (23). https://doi.org/10.3390/electronics12234766
Using Hidden Markov Chain for improving the dependability of safety-critical WSNs
Al-Nader, I., Lasebae, A. and Raheem, R. 2023. Using Hidden Markov Chain for improving the dependability of safety-critical WSNs. Barolli, L. (ed.) 37th International Conference on Advanced Information Networking and Applications. Federal University of Juiz de Fora, Brazil 29 - 31 Mar 2023 Cham, Switzerland. Springer. pp. 460–472 https://doi.org/10.1007/978-3-031-29056-5_40
Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)
Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026
Novel group handover mechanism for cooperative and coordinated mobile femtocells technology in railway environment
Raheem, R., Lasebae, A. and Raheem, A. 2022. Novel group handover mechanism for cooperative and coordinated mobile femtocells technology in railway environment. Array. 15. https://doi.org/10.1016/j.array.2022.100223
An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks
Zebin, T., Rezvy, S. and Luo, Y. 2022. An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks. IEEE Transactions on Information Forensics and Security. 17, pp. 2339-2349. https://doi.org/10.1109/TIFS.2022.3183390
Cooperative and coordinated Mobile Femtocells technology in high-speed vehicular environments: mobility and interference management
Raheem, R., Lasebae, A., Petridis, M. and Raheem, A. 2021. Cooperative and coordinated Mobile Femtocells technology in high-speed vehicular environments: mobility and interference management. Barolli, L., Woungang, I. and Enokido, T. (ed.) 35th International Conference on Advanced Information Networking and Applications (AINA-2021). Ryerson University, Toronto, Canada (Held Online) 12 - 14 May 2021 Springer. pp. 653-666 https://doi.org/10.1007/978-3-030-75100-5_56
Robust continuous user authentication system using long short term memory network for healthcare
Tanveer, A., Lasebae, A., Ali, K., Alkhayyat, A., Ur-Rehman, M., Haq, B. and Naeem, B. 2021. Robust continuous user authentication system using long short term memory network for healthcare. Ur-Rehman, M. and Zoha, A. (ed.) 16th EAI International Conference on Body Area Networks. Glasgow, UK (Online) 25 - 26 Oct 2021 Cham Springer. pp. 295–307 https://doi.org/10.1007/978-3-030-95593-9_22
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Ali, S., Dmitrieva, M., Ghatwary, N., Bano, S., Polat, G., Temizel, A., Krenzer, A., Hekalo, A., Guo, Y., Matuszewski, B., Gridach, M., Voiculescu, I., Yoganand, V., Chavan, A., Raj, A., Nguyen, N., Tran, D., Huynh, L., Boutry, N., Rezvy, S., Chen, H., Choi, Y., Subramanian, A., Balasubramanian, V., Gao, X., Hu, H., Liao, Y., Stoyanov, D., Daul, C., Realdon, S., Cannizzaro, R., Lamarque, D., Tran-Nguyen, T., Bailey, A., Braden, B., East, J. and Rittscher, J. 2021. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis. 70. https://doi.org/10.1016/j.media.2021.102002
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization
Zebin, T. and Rezvy, S. 2021. COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence. 51 (2), pp. 1010-1021. https://doi.org/10.1007/s10489-020-01867-1
Heuristic edge server placement in Industrial Internet of Things and cellular networks
Kasi, S., Kasi, M., Ali, K., Raza, M., Afzal, H., Lasebae, A., Naeem, B., Islam, S. and Rodrigues, J. 2021. Heuristic edge server placement in Industrial Internet of Things and cellular networks. IEEE Internet of Things Journal. 8 (13), pp. 10308-10317. https://doi.org/10.1109/JIOT.2020.3041805
Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach
Kiyani, A., Lasebae, A., Ali, K., Ur-Rehman, M. and Haq, B. 2020. Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach. IEEE Access. 8, pp. 156177-156189. https://doi.org/10.1109/ACCESS.2020.3019467
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization
Zebin, T., Rezvy, S. and Pang, W. 2020. COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. https://doi.org/10.21203/rs.3.rs-34534/v1
Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture
Rezvy, S., Zebin, T., Pang, W., Taylor, S. and Gao, X. 2020. Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. 2nd International Workshop and Challenge on Computer Vision in Endoscopy. Iowa City, United States 03 Apr 2020 pp. 68-72
Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer
Gao, X., Braden, B., Zhang, L., Taylor, S., Pang, W. and Petridis, M. 2020. Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer. 24th UK Symposium on Case-Based Reasoning (UKCBR 2019). Cambridge, UK 17 Dec 2019 BCS SGAI: The Specialist Group on Artificial Intelligence. pp. 1-12
A deep learning approach for length of stay prediction in clinical settings from medical records
Zebin, T., Rezvy, S. and Chaussalet, T. 2019. A deep learning approach for length of stay prediction in clinical settings from medical records. 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). Siena, Italy 09 - 10 Jul 2019 IEEE. pp. 1-5 https://doi.org/10.1109/CIBCB.2019.8791477
Improved movie recommendations based on a hybrid feature combination method
Alshammari, G., Kapetanakis, S., Alshammari, A., Polatidis, N. and Petridis, M. 2019. Improved movie recommendations based on a hybrid feature combination method. Vietnam Journal of Computer Science. 6 (3), pp. 363-376. https://doi.org/10.1142/s2196888819500192
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks
Rezvy, S., Luo, Y., Petridis, M., Lasebae, A. and Zebin, T. 2019. An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. 2019 53rd Annual Conference on Information Sciences and Systems (CISS). Baltimore, MD, USA, USA 20 - 22 Mar 2019 IEEE. pp. 1-6 https://doi.org/10.1109/CISS.2019.8693059
The impacts of internal threats towards routing protocol for low power and lossy network performance
Le, A., Loo, J., Luo, Y. and Lasebae, A. 2013. The impacts of internal threats towards routing protocol for low power and lossy network performance. 2013 IEEE Symposium on Computers and Communications (ISCC). https://doi.org/10.1109/ISCC.2013.6755045
Exposing knowledge: providing a real-time view of the domain under study for students
Zammit, O., Smith, S., De Raffaele, C. and Petridis, M. 2019. Exposing knowledge: providing a real-time view of the domain under study for students. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer. pp. 122-135 https://doi.org/10.1007/978-3-030-34885-4_9
A switching multi-level method for the long tail recommendation problem
Alshammari, G., Jorro-Aragoneses, J., Polatidis, N., Kapetanakis, S., Pimenidis, E. and Petridis, M. 2019. A switching multi-level method for the long tail recommendation problem. Journal of Intelligent & Fuzzy Systems. 37 (6), pp. 7189-7198. https://doi.org/10.3233/jifs-179331
Predicting fraud in mobile money transfer using case-based reasoning
Adedoyin, A., Kapetanakis, S., Samakovitis, G. and Petridis, M. 2017. Predicting fraud in mobile money transfer using case-based reasoning. SGAI 2017: International Conference on Innovative Techniques and Applications of Artificial Intelligence. Cambridge, United Kingdom 12 - 14 Dec 2017 Springer. https://doi.org/10.1007/978-3-319-71078-5_28
A progressive approach to design authentication protocols for mobile heterogeneous networks
Kenaza, T., Aiash, M., Loo, J., Lasebae, A. and Whitney, G. 2016. A progressive approach to design authentication protocols for mobile heterogeneous networks. IEEE Trustcom/BigDataSE/I​SPA, 2016. Tianjin, China 23 - 26 Aug 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 1776-1781 https://doi.org/10.1109/trustcom.2016.0273
A security framework for node-to-node communications based on the LISP architecture
Kallash, M., Loo, J., Lasebae, A. and Aiash, M. 2018. A security framework for node-to-node communications based on the LISP architecture. International Journal of Electronic Security and Digital Forensics. 10 (3), pp. 276-291. https://doi.org/10.1504/IJESDF.2018.093024
MIRTO: an open-source robotic platform for education
Androutsopoulos, K., Aristodemou, L., Boender, J., Bottone, M., Currie, E., El-Aroussi, I., Fields, B., Gheri, L., Gorogiannis, N., Heeney, M., Micheletti, M., Loomes, M., Margolis, M., Petridis, M., Piermarteri, A., Primiero, G., Raimondi, F. and Weldin, N. 2018. MIRTO: an open-source robotic platform for education. 3rd European Conference on Software Engineering Education. Seeon, Germany 14 - 15 Jun 2018 Association for Computing Machinery (ACM). pp. 55-62 https://doi.org/10.1145/3209087.3209106
Crime pattern recognition based on high-performance computing
Eissa, A., Cheng, X. and Petridis, M. 2018. Crime pattern recognition based on high-performance computing. 2017 International Conference Next Generation Community Policing. Heraklion, Crete, Greece 25 - 27 Oct 2017
Interference Management and System Optimisation for Femtocells Technology in LTE and Future 4G/5G Networks
Raheem, R., Lasebae, A., Aiash, M., Loo, J., Colson, R. and Raheem, A. 2017. Interference Management and System Optimisation for Femtocells Technology in LTE and Future 4G/5G Networks. in: Yurish, S. (ed.) Advances in Networks, Security and Communications: Reviews - Volume 1 International Frequency Sensor Association Publishing.
Mobility management for vehicular user equipment in LTE/mobile femtocell networks
Raheem, R., Lasebae, A., Aiash, M. and Loo, J. 2017. Mobility management for vehicular user equipment in LTE/mobile femtocell networks. International Journal of Information Systems in the Service Sector. 9 (4), pp. 60-87. https://doi.org/10.4018/IJISSS.2017100105
Mobile femtocell utilisation in LTE vehicular environment: vehicular penetration loss elimination and performance enhancement
Raheem, R., Lasebae, A., Aiash, M., Loo, J. and Colson, R. 2017. Mobile femtocell utilisation in LTE vehicular environment: vehicular penetration loss elimination and performance enhancement. Vehicular Communications. 9 (12), pp. 31-42. https://doi.org/10.1016/j.vehcom.2017.02.003
Performance evaluation of mobile users served by fixed and mobile femtocells in LTE networks
Raheem, R., Lasebae, A., Aiash, M. and Loo, J. 2016. Performance evaluation of mobile users served by fixed and mobile femtocells in LTE networks. Journal of Networking Technology. 7 (1), pp. 16-33.
Interference management for co-channel mobile femtocells technology in LTE networks
Raheem, R., Lasebae, A., Aiash, M. and Loo, J. 2016. Interference management for co-channel mobile femtocells technology in LTE networks. 12th International Conference on Intelligent Environments (IE). London, United Kingdom 14 - 16 Sep 2016 IEEE. pp. 80-87 https://doi.org/10.1109/IE.2016.21
Performance evaluation of wireless IEEE 802.11(b) used for ad-hoc networks in an e-learning classroom network
Ghosh, A., Lasebae, A. and Ever, E. 2009. Performance evaluation of wireless IEEE 802.11(b) used for ad-hoc networks in an e-learning classroom network. 3rd IT Student Conference for the Next Generation. University of East London, London, UK 21 - 22 Nov 2009
A secure authentication protocol for IP-based wireless sensor communications using the location/ID split protocol (LISP)
Raheem, A., Lasebae, A. and Loo, J. 2014. A secure authentication protocol for IP-based wireless sensor communications using the location/ID split protocol (LISP). 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Beijing, China Institute of Electrical and Electronics Engineers (IEEE). pp. 840-845 https://doi.org/10.1109/TrustCom.2014.135
Supporting communications in the IOTs using the location/ID split protocol: a security analysis
Lasebae, A., Loo, J., Aiash, M. and Raheem, A. 2013. Supporting communications in the IOTs using the location/ID split protocol: a security analysis. Future Generation Communication Technology (FGCT) 4- date of conference in full: 12-14 Nov. 2013. London, UK 12 - 14 Nov 2013 pp. 1-5
System capacity Improvement by on request channel allocation in LTE cellular network
Lasebae, A., Rahman, S. and Rezvy, S. 2014. System capacity Improvement by on request channel allocation in LTE cellular network. The 15th IEEE International Conference on a World of Wireless, Mobile and Multimedia Networks. Sydney, Australia 16 - 19 Jun 2014
Instant channel allocation technique to improve system throughput in joint LTE network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2014. Instant channel allocation technique to improve system throughput in joint LTE network. The 28th IEEE International Conference on Advanced Information Networking and Applications. Victoria, BC, Canada 03 - 16 May 2014 IEEE. pp. 900-904 https://doi.org/10.1109/WAINA.2014.198
System capacity improvement by on request channel allocation in LTE cellular network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2014. System capacity improvement by on request channel allocation in LTE cellular network. 48th Annual Conference on Information Sciences and Systems (CISS-2014). Princeton, New Jersey, USA 19 - 21 Mar 2014 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CISS.2014.6814105
On demand based frequency allocation to mitigate interference in femto-macro LTE cellular network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2013. On demand based frequency allocation to mitigate interference in femto-macro LTE cellular network. Second International Conference on Future Generation Communication Technologies (FGCT- 2013). London, UK 12 - 14 Nov 2013 Institute of Electrical and Electronics Engineers (IEEE). pp. 213-218
Downlink femto-macro ICI cancellation by on request channel allocation in LTE network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2014. Downlink femto-macro ICI cancellation by on request channel allocation in LTE network. 48th Annual Conference on Information Sciences and Systems (CISS-2014). Princeton University, New Jersey, USA 19 - 21 Mar 2014
Mobility management in LTE/mobile femtocell networks: outage probability and drop/block calls probability
Raheem, R., Lasebae, A. and Loo, J. 2015. Mobility management in LTE/mobile femtocell networks: outage probability and drop/block calls probability. 3rd International Conference on Emerging Research Paradigms in Business and Social Sciences. Dubai, UAE 24 - 26 Nov 2015
A secure framework for communications in heterogeneous networks
Aiash, M., Mapp, G., Lasebae, A. and Loo, J. 2014. A secure framework for communications in heterogeneous networks. WAINA 2014 28th International Conference on Advanced Information Networking and Applications Workshops. Victoria, BC 13 - 16 May 2014 pp. 841-846
Comparison between resource reservation protocol and next steps in signalling in mobile IP networks
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2014. Comparison between resource reservation protocol and next steps in signalling in mobile IP networks. IET Networks. https://doi.org/10.1049/iet-net.2013.0028
SLA based MT-routing for future internet
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2014. SLA based MT-routing for future internet. Wireless World Research Forum Meeting 32. Marrakech, Morocco 18 - 22 May 2014
An efficient traffic engineering based on multi-topology routing for future internet
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2014. An efficient traffic engineering based on multi-topology routing for future internet. Computer Networks. https://doi.org/10.1016/j.comnet.2014.05.008
LOC algorithm: location-aware opportunistic forwarding by using node's approximate location
Khan, S., Loo, J., Lasebae, A., Azam, M., Adeel, M., Kausar, R. and Sardar, H. 2014. LOC algorithm: location-aware opportunistic forwarding by using node's approximate location. International Journal of Pervasive Computing and Communications. 10 (4), pp. 481-496. https://doi.org/10.1108/IJPCC-02-2014-0017
Performance evaluation of LTE network via using fixed/mobile femtocells
Raheem, R., Lasebae, A. and Loo, J. 2014. Performance evaluation of LTE network via using fixed/mobile femtocells. Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference. Victoria, BC, Canada 13 - 16 May 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 255-260 https://doi.org/10.1109/WAINA.2014.51
Instant channel allocation technique to improve system throughput in joint LTE cellular network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2014. Instant channel allocation technique to improve system throughput in joint LTE cellular network. Advanced Information Networking and Applications Workshops (WAINA 2014). Victoria, Canada 13 - 16 May 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 900-904 https://doi.org/10.1109/WAINA.2014.198
LOC algorithm: location-aware opportunistic forwarding by using node's approximate location
Kashif Ashraf Khan, S., Loo, J., Lasebae, A., Awais Azam, M., Adeel, M., Kausar, R. and Sardar, H. 2014. LOC algorithm: location-aware opportunistic forwarding by using node's approximate location. International Journal of Pervasive Computing and Communications. 10 (4), pp. 481-496. https://doi.org/10.1108/IJPCC-02-2014-0017
Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness
Kodagoda, N., Attfield, S., Choudhury, S., Rooney, C., Mapp, G., Nguyen, P., Slabbert, L., Wong, B., Aiash, M., Zheng, Y., Xu, K. and Lasebae, A. 2014. Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness. Information Visualization. 13 (4), pp. 346-360. https://doi.org/10.1177/1473871613490291
Specification-based IDS for securing RPL from topology attacks
Le, A., Loo, J., Luo, Y. and Lasebae, A. 2011. Specification-based IDS for securing RPL from topology attacks. Wireless Days (WD), 2011 IFIP. https://doi.org/10.1109/WD.2011.6098218
Introducing mobile home agents into the distributed authentication protocol to achieve location privacy in mobile IPv6
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2008. Introducing mobile home agents into the distributed authentication protocol to achieve location privacy in mobile IPv6. International Journal of Communications. 2 (3), pp. 185-194.
Integrating mobility, quality-of-service and security in future mobile networks
Aiash, M., Mapp, G., Lasebae, A., Phan, R. and Loo, J. 2013. Integrating mobility, quality-of-service and security in future mobile networks. in: Ao, S. and Gelman, L. (ed.) Electrical Engineering and Intelligent Systems New York Springer.
An efficient resource reservation for domain based mobile IP networks: analytical approach
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2013. An efficient resource reservation for domain based mobile IP networks: analytical approach. IEEE 77th Vehicular Technology Conference (VTC2013-Spring). Dresden, Germany 02 - 05 Jun 2013
From fixed to mobile femtocells in LTE systems: issues and challenges
Raheem, R., Lasebae, A., Aiash, M. and Loo, J. 2013. From fixed to mobile femtocells in LTE systems: issues and challenges. 2013 Second International Conference on Future Generation Communication Technology (FGCT). London, United Kingdom 12 - 14 Nov 2013 Institute of Electrical and Electronics Engineers (IEEE). pp. 207-212 https://doi.org/10.1109/FGCT.2013.6767218
Efficient NSIS mobility support for mobile networks
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2013. Efficient NSIS mobility support for mobile networks. IEEE 24th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). London, UK 08 - 11 Sep 2013 IEEE. pp. 3354-3359 https://doi.org/10.1109/PIMRC.2013.6666727
Using aggregated RSVP in nested HMIPv6
Mirzamany, E., Lasebae, A. and Gemikonakli, O. 2012. Using aggregated RSVP in nested HMIPv6. Wireless Communications and Mobile Computing Conference (IWCMC), 2012 8th International. IEEE. pp. 716 -721 https://doi.org/10.1109/IWCMC.2012.6314292
A formally verified device authentication protocol using Casper/FDR
Aiash, M., Mapp, G., Phan, R., Lasebae, A. and Loo, J. 2012. A formally verified device authentication protocol using Casper/FDR. Min, G., Wu, Y., Liu, L., Jin, X., Jarvis, S. and Al-Dubai, A. (ed.) 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012). Liverpool, UK 25 - 27 Jun 2012 IEEE. pp. 1293-1298 https://doi.org/10.1109/TrustCom.2012.27
A survey of potential architectures for communication in heterogeneous networks
Aiash, M., Mapp, G., Lasebae, A., Loo, J., Sardis, F., Phan, R., Augusto, M., Moreira, E. and Vanni, R. 2012. A survey of potential architectures for communication in heterogeneous networks. IEEE Wireless Telecommunications Symposium (WTS 2012). London 18 - 20 Apr 2012 IEEE. pp. 1-6 https://doi.org/10.1109/WTS.2012.6266121
Evaluation of wireless IEEE 802.11(b) used for ad-hoc networks in an e-learning classroom network
Ghosh, A., Lasebae, A. and Ever, E. 2009. Evaluation of wireless IEEE 802.11(b) used for ad-hoc networks in an e-learning classroom network. Kaspersky IT Security Conference for the Next Generation.
Security and QoS integration for protecting service providers in hterogeneous environments
Aiash, M., Mapp, G. and Lasebae, A. 2011. Security and QoS integration for protecting service providers in hterogeneous environments. International Journal of Computer Science. 38 (4), pp. 384-393.
6LoWPAN: a study on QoS security threats and countermeasures using intrusion detection system approach
Le, A., Loo, J., Lasebae, A., Aiash, M. and Luo, Y. 2012. 6LoWPAN: a study on QoS security threats and countermeasures using intrusion detection system approach. International Journal of Communication Systems. 25 (9), pp. 1189-1212. https://doi.org/10.1002/dac.2356
M-Sieve: a visualisation tool for supporting network security analysts
Choudhury, S., Kodagoda, N., Nguyen, P., Rooney, C., Attfield, S., Xu, K., Zheng, Y., Wong, B., Chen, R., Mapp, G., Slabbert, L., Aiash, M. and Lasebae, A. 2012. M-Sieve: a visualisation tool for supporting network security analysts. VisWeek 2012. Seattle, WA, USA 14 - 19 Oct 2012
A formally verified AKA protocol for vertical handover inheterogeneous environments using Casper/FDR
Aiash, M., Mapp, G., Lasebae, A., Phan, R. and Loo, J. 2012. A formally verified AKA protocol for vertical handover inheterogeneous environments using Casper/FDR. EURASIP Journal on Wireless Communications and Networking. 2012 (57). https://doi.org/10.1186/1687-1499-2012-57
Stream bundle management layer for optimum management of co-existing telemedicine traffic streams under varying channel conditions in heterogeneous networks.
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2005. Stream bundle management layer for optimum management of co-existing telemedicine traffic streams under varying channel conditions in heterogeneous networks. MIT 2005. China
Proactive policy management for heterogeneous networks
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2008. Proactive policy management for heterogeneous networks. 3rd International Conference on Information and Communication Technologies: from Theory to Applications (ICTTA 2008). Umayyad Palace, Damascus, Syria 07 - 11 Apr 2008
Client-based SBM layer for predictive management of traffic flows in heterogeneous networks
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2006. Client-based SBM layer for predictive management of traffic flows in heterogeneous networks. 2nd IEEE International Conference on Information and Communication Technologies: from Theory to Applications (ICTTA 2006). Damascus, Syria 24 - 28 Apr 2006
A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks.
Shaikh, F., Mapp, G., Lasebae, A., British Institute of Technology and e-Commerce and Middlesex University 2011. A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks. First Global Conference on Communication, Science and Information Engineering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Exploring the concept of scope to provide better security for internet services.
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Middlesex University and Loughborough University 2011. Exploring the concept of scope to provide better security for internet services. First Global Conference on Communication, Science and Engineering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Enhancing naming and location services to support multi-homed devices in heterogeneous environments
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Augusto, M., Vanni, R., Moreira, E., Middlesex University, Loughborough University and University of Sao Paulo 2011. Enhancing naming and location services to support multi-homed devices in heterogeneous environments. First Conference on Communication, Science and Information Enginneering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Proactive policy management using TBVH mechanism in heterogeneous networks.
Shaikh, F., Mapp, G., Lasebae, A. and Middlesex University 2007. Proactive policy management using TBVH mechanism in heterogeneous networks. Proceedings of the International Conference and Exhibition on 'Next Generation Mobile Application, Services and Technologies' (NGMAST 2007). Cardiff, Wales 12 - 14 Sep 2007
A QoS framework for heterogeneous networking
Aiash, M., Mapp, G., Lasebae, A., Augusto, M., Vanni, R. and Moreira, E. 2011. A QoS framework for heterogeneous networking. ICWN'11: The 2011 International Conference of Wireless Networks (held as part of WCE 2011). London, UK 06 - 08 Jul 2011 pp. 1765-1789
Investigation of a mechatronic device for the remedial treatment of brain injured children.
Lasebae, A. 1999. Investigation of a mechatronic device for the remedial treatment of brain injured children. PhD thesis Middlesex University
Providing security in 4G systems: unveiling the challenges
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Middlesex University and Loughborough University 2010. Providing security in 4G systems: unveiling the challenges. Atmaca, T., Palicot, J., Amor, N., Tsiatsos, T., Marot, M. and Dini, O. (ed.) IEEE. pp. 439-444 https://doi.org/10.1109/AICT.2010.24
Security models for heterogeneous networking
Mapp, G., Aiash, M., Lasebae, A. and Phan, R. 2010. Security models for heterogeneous networking. Katsikas, S. (ed.) 4th International Conference on Security and Cryptography. Athens, Greece 26 - 28 Jul 2010 IEEE. pp. 1-4
Location privacy in mobile IPv6 distributed authentication protocol using mobile home agents
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2009. Location privacy in mobile IPv6 distributed authentication protocol using mobile home agents. Trilling, L., Perkins, D., Dionysios, D., Perlovsky, L., Davey, K., Landgrebe, D., Marino, M., Russell, D., Collicott, S., Ceccarelli, M. and Lund, J. (ed.) The 8th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (EHAC '09). Cambridge, UK 21 - 23 Feb 2009 World Scientific and Engineering Academy and Society (WSEAS). pp. 51-56
Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol.
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2006. Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol. Lazakidou, A. and Siassiakos, K. (ed.) 6th WSEAS International Conference on Applied Informatics and Communications. Elounda, Greece 18 - 20 Aug 2006 World Scientific and Engineering Academy and Society (WSEAS). pp. 406-411
Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2006. Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6. WSEAS Transactions on Communications. 5 (10), pp. 1109-2742.
Distributed authentication protocol for the security of binding updates in mobile IPv6
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Distributed authentication protocol for the security of binding updates in mobile IPv6. Kartalopoulos, S. (ed.) 9th WSEAS International Conference on Communications. Athens, Greece 14 - 16 Jul 2005 World Scientific and Engineering Academy and Society (WSEAS).
Binding update security for mobile IPv6 using a distributed authentication protocol
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Binding update security for mobile IPv6 using a distributed authentication protocol. WSEAS Transactions on Communications. 4 (9), pp. 1109-2742.
Critical analysis of high speed wireless standards for transferring telementoring information
Shaikh, F., Lasebae, A. and Whitney, G. 2004. Critical analysis of high speed wireless standards for transferring telementoring information. in: ICTTA'04: 2004 International conference on information & communication technologies: from theory to applications. IEEE.
Trinity protocol for authentication of binding updates in mobile IPv6
Luo, Y., Comley, R., Lasebae, A. and Georgiades, A. 2004. Trinity protocol for authentication of binding updates in mobile IPv6. WSEAS Transactions on Communications. 3 (3), pp. 872-877.