Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications

Conference paper


Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. 2023. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221
TypeConference paper
TitleLeveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
AuthorsChowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E.
Abstract

Smarthome applications are becoming increasingly popular due to their ability to provide safety, comfort, and remote assistance. These applications are usually controlled using a smart home controller, which is often the target of malware attacks. A successful attack may result in financial loss, disclosure of personal and/or sensitive information, or even loss of human lives. Although machine learning models have been used in existing research for detecting multi-class malware attacks in smart home systems, they did not explicitly address the class imbalance problem in such cases. In addition, the use of ensemble learner is expected to provide improved performance. To address this, we investigated different oversampling techniques to increase the number of samples in the minority classes and incorporated ensemble learners to see their impact on the prediction performance. Experimental evaluation shows significant improvements (4-5%) in terms of accuracy, precision, recall, and F-1 score. Index Terms—Oversampling Techniques, Ensemble Models, Multi-class Malware Detection

KeywordsOversampling Techniques; Ensemble Models; Multi-class Malware Detection
Sustainable Development Goals8 Decent work and economic growth
Middlesex University ThemeSustainability
ConferenceIEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications
Page range2216-2221
Proceedings Title2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
ISSN2324-898X
Electronic2324-9013
ISBN
Paperback9798350382006
Electronic9798350381993
PublisherIEEE
Publication dates
Print01 Nov 2023
Online29 May 2024
Publication process dates
Accepted24 Sep 2023
Deposited13 Oct 2023
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10538469/proceeding
LanguageEnglish
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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
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
Exploring multi-homing issues in heterogeneous networks
Mapp, G., Aiash, M., Guardia, H., Crowcroft, J., Institute of Electrical and Electronics Engineers, Middlesex University, Federal University of Sao Paulo and University of Cambridge 2011. Exploring multi-homing issues in heterogeneous networks. IEEE. pp. 690-695 https://doi.org/10.1109/WAINA.2011.140
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
Exploring efficient imperative handover mechanisms for heterogeneous wireless networks
Mapp, G., Shaikh, F., Aiash, M., Vanni, R., Augusto, M. and Moreira, E. 2009. Exploring efficient imperative handover mechanisms for heterogeneous wireless networks. Duresi, A., Barolli, L., Enokido, T., Uehara, M., Shakshuki, E. and Takizawa, M. (ed.) 12th International Conference on Network-Based Information Systems. Indianapolis, Indiana 19 - 21 Aug 2009 IEEE. pp. 286-291 https://doi.org/10.1109/NBiS.2009.95