Dr Luca Piras


NameDr Luca Piras
Job titleSenior Lecturer in Computer Science
Research institute
Primary appointmentComputer Science
ORCIDhttps://orcid.org/0000-0002-7530-4119
Contact categoryAcademic staff (past)

Research outputs

Assuring privacy of AI-powered community driven Android code vulnerability detection

Senanayake, J., Kalutarage, H., Piras, L., Al-Kadri, M.O. and Petrovski, A. 2025. Assuring privacy of AI-powered community driven Android code vulnerability detection. Garcia-Alfaro, J., Kalutarage, H., Yanai, N., Kozik, R., Ksieniewicz, P., Woźniak, M., Abie, H., Ranise, S., Verderame, L., Cambiaso, E., Ugarelli,, R., Praça, I., Katt, B., Pirbhulal, S., Shukla, A., Pawlicki, M. and Choraś, M. (ed.) 3rd International Workshop on System Security Assurance. Bydgoszcz, Poland 19 - 20 Sep 2024 Springer. pp. 457-476 https://doi.org/10.1007/978-3-031-82362-6_27

A risk assessment of information security in a diet centre business: a case study

Annahdi, T., Alkubaisy, D. and Piras, L. 2025. A risk assessment of information security in a diet centre business: a case study. 20th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE). Porto (Portugal) 04 - 06 Apr 2025

Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network

Thiha, M., Yetgin, H., Piras, L. and Al-Obeidallah, M.G. 2025. Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network. 20th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE). Porto (Portugal) 04 - 06 Apr 2025

Formalizing federated learning and differential privacy for GIS systems in IIIf

Kammueller, F., Piras, L., Fields, B. and Nagarajan, R. 2024. Formalizing federated learning and differential privacy for GIS systems in IIIf. 3rd International Workshop on System Security Assurance. Bydgoszcz, Poland 19 - 20 Sep 2024 Springer.

Model-based gamification design with Web-Agon: an automated analysis tool for gamification

Zaw, H.K., Piras, L., Calabrese, F. and Al-Obeidallah, M.G. 2024. Model-based gamification design with Web-Agon: an automated analysis tool for gamification. 50th Euromicro Conference Series on Software Engineering and Advanced Applications. Paris, France 28 - 30 Aug 2024 IEEE. pp. 168-171 https://doi.org/10.1109/SEAA64295.2024.00033

Gamification of E-Learning apps via acceptance requirements analysis

Calabrese, L., Piras, L., Al-Obeidallah, M., Egbikuadje, B. and Alkubaisy, D. 2024. Gamification of E-Learning apps via acceptance requirements analysis. 19th International Conference on Evaluation of Novel Approaches to Software Engineering. Angers, France 28 - 29 Apr 2024 SCITEPRESS - Science and Technology Publications. pp. 291-298 https://doi.org/10.5220/0012550400003687

FedREVAN: real-time detection of vulnerable Android source code through federated neural network with XAI

Senanayake, J., Kalutarage, H., Petrovski, A., Al-Kadri, M.O. and Piras, L. 2024. FedREVAN: real-time detection of vulnerable Android source code through federated neural network with XAI. ESORICS Workshop on Attacks and Software Protection (WASP). The Hague, The Netherlands 25 - 29 Sep 2023 Springer. pp. 426-441 https://doi.org/10.1007/978-3-031-54129-2_25

Defendroid: real-time Android code vulnerability detection via blockchain federated neural network with XAI

Senanayake, L., Kalutarage, H., Petrovski, A., Piras, L. and Al-Kadri, M. 2024. Defendroid: real-time Android code vulnerability detection via blockchain federated neural network with XAI. Journal of Information Security and Applications. 82. https://doi.org/10.1016/j.jisa.2024.103741

Android code vulnerabilities early detection using AI-powered ACVED plugin

Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android code vulnerabilities early detection using AI-powered ACVED plugin. Atluri, V. and Ferrara, A. (ed.) 37th Annual IFIP WG 11.3 Conference (DBSec 2023). Sophia-Antipolis, France 19 - 21 Jul 2023 Cham, Switzerland Springer. pp. 339–357 https://doi.org/10.1007/978-3-031-37586-6_20

Labelled vulnerability dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models

Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Piras, L. and Petrovski, A. 2023. Labelled vulnerability dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. Vimercati, S. and Samarati, P. (ed.) International Conference on Security and Cryptography (SECRYPT) 2023. Rome, Italy 10 - 12 Jul 2023 SCITEPRESS - Science and Technology Publications. pp. 659-666 https://doi.org/10.5220/0012060400003555

Goal-modeling privacy-by-design patterns for supporting GDPR compliance

Al-Obeidallah, M., Piras, L., Iloanugo, O., Mouratidis, H., Alkubaisy, D and Dellagiacoma, D. 2023. Goal-modeling privacy-by-design patterns for supporting GDPR compliance. Fill, H.-G., Domínguez-Mayo, F.J., van Sinderen, M. and Maciaszek, L. (ed.) International Conference on Software Technologies (ICSOFT). Rome, Italy 10 - 12 Jul 2023 SCITEPRESS - Science and Technology Publications. pp. 361-368 https://doi.org/10.5220/0012080700003538

Android source code vulnerability detection: a systematic literature review

Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android source code vulnerability detection: a systematic literature review. ACM Computing Surveys. 55 (9). https://doi.org/10.1145/3556974

Supporting the individuation, analysis and gamification of software components for acceptance requirements fulfilment

Calabrese, F., Piras, L. and Giorgini, P. 2022. Supporting the individuation, analysis and gamification of software components for acceptance requirements fulfilment. Barn, B. and Sandkuhl, K (ed.) IFIP Working Conference on The Practice of Enterprise Modeling. London, UK 23 - 25 Nov 2022 Springer. pp. 33-48 https://doi.org/10.1007/978-3-031-21488-2_3

Developing secured Android applications by mitigating code vulnerabilities with machine learning

Senanayake, J., Kalutarage, H., Al-Kadri, M., Petrovski, A. and Piras, L. 2022. Developing secured Android applications by mitigating code vulnerabilities with machine learning. ACM Asia Conference on Computer and Communications Security (ASIA CCS '22). Nagasaki, Japan 30 May - 03 Jun 2022 Association for Computing Machinery (ACM). pp. 1255–1257 https://doi.org/10.1145/3488932.3527290

A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design

Alkubaisy, D., Piras, L., Al-Obeidallah, M., Cox, K. and Mouratidis, H. 2022. A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design. Ali, R., Kaindl, H. and Maciaszek, L. (ed.) 16th International Conference on Evaluation of Novel Approaches to Software Engineering. Virtual 26 - 27 Apr 2021 Cham Springer. pp. 67-87 https://doi.org/10.1007/978-3-030-96648-5_4

Confis: a tool for privacy and security analysis and conflict resolution for supporting GDPR compliance through privacy-by-design

Alkubaisy, D., Piras, L., Al-Obeidallah, M., Cox, K. and Mouratidis, H. 2021. Confis: a tool for privacy and security analysis and conflict resolution for supporting GDPR compliance through privacy-by-design. Ali, R., Kaindl, H. and Maciaszek, L. (ed.) 16th International Conference on Evaluation of Novel Approaches to Software Engineering. Virtual 26 - 27 Apr 2021 SCITEPRESS - Science and Technology Publications. pp. 80-91 https://doi.org/10.5220/0010406100800091

DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance

Piras, L., Al-Obeidallah, M., Pavlidis, M., Mouratidis, H., Tsohou, A., Magkos, E., Praitano, A., Iodice, A. and Gallego-Nicasio Crespo, B. 2020. DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. 17th International Conference on Trust and Privacy in Digital Business. Bratislava, Slovakia 14 - 17 Sep 2020 Springer. https://doi.org/10.1007/978-3-030-58986-8_13

Privacy, security, legal and technology acceptance requirements for a GDPR compliance platform

Tsohou, A., Magkos, M., Mouratidis, H., Chrysoloras, G., Piras, L., Pavlidis, M., Debussche, J., Rotoloni, M. and Gallego-Nicasio Crespo, B. 2020. Privacy, security, legal and technology acceptance requirements for a GDPR compliance platform. 2019 International Workshop on Security and Privacy Requirements Engineering. Luxembourg City, Luxembourg 26 - 27 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-42048-2_14

Design thinking and acceptance requirements for designing gamified software

Piras, L., Dellagiacoma, D., Perini, A., Susi, A., Giorgini, P. and Mylopoulos, J. 2019. Design thinking and acceptance requirements for designing gamified software. 13th International Conference on Research Challenges in Information Science. Brussels, Belgium 29 - 31 May 2019 IEEE. pp. 1-12 https://doi.org/10.1109/rcis.2019.8876973

DEFeND architecture: a privacy by design platform for GDPR compliance

Piras, L., Al-Obeidallah, M., Praitano, A., Tsohou, A., Mouratidis, H., Gallego-Nicasio Crespo, B., Bernard, J., Fiorani, M., Magkos, E., Castillo Sanz, A., Pavlidis, M., D'Addario, R. and Zorzino, G. 2019. DEFeND architecture: a privacy by design platform for GDPR compliance. 16th International Conference on Trust, Privacy and Security in Digital Business. Linz, Austria 26 - 29 Aug 2019 Springer. https://doi.org/10.1007/978-3-030-27813-7_6

Goal models for acceptance requirements analysis and gamification design

Piras, L., Paja, E., Giorgini, P. and Mylopoulos, J. 2017. Goal models for acceptance requirements analysis and gamification design. Mayr, H.C., Guizzardi, G., Ma, H. and Pastor, O. (ed.) 36th International Conference on Conceptual Modeling. Valencia, Spain 06 - 09 Nov 2017 Cham Springer. pp. 223-230 https://doi.org/10.1007/978-3-319-69904-2_18

Goal-oriented requirements engineering: an extended systematic mapping study

Horkoff, J., Aydemir, F., Cardoso, E., Li, T., Mate, A., Paja, E., Salnitri, M., Piras, L., Mylopoulos, J. and Giorgini, P. 2019. Goal-oriented requirements engineering: an extended systematic mapping study. Requirements Engineering. 24 (2), pp. 133-160. https://doi.org/10.1007/s00766-017-0280-z

Gamification solutions for software acceptance: a comparative study of requirements engineering and organizational behavior techniques

Piras, L., Paja, E., Giorgini, P., Mylopoulos, J., Cuel, R. and Ponte, D. 2017. Gamification solutions for software acceptance: a comparative study of requirements engineering and organizational behavior techniques. 11th International Conference on Research Challenges in Information Science. Brighton, UK 10 - 12 May 2017 IEEE. pp. 255-265 https://doi.org/10.1109/rcis.2017.7956544

Acceptance requirements and their gamification solutions

Piras, L., Giorgini, P. and Mylopoulos, J. 2016. Acceptance requirements and their gamification solutions. IEEE 24th International Requirements Engineering Conference. Beijing, China 12 - 16 Sep 2016 IEEE. pp. 365-370 https://doi.org/10.1109/RE.2016.43

Using gamification to incentivize sustainable urban mobility

Kazhamiakin, R., Marconi, A., Perillo, M., Pistore, M., Valetto, G., Piras, L., Avesani, F. and Perri, N. 2015. Using gamification to incentivize sustainable urban mobility. IEEE First International Smart Cities Conference. Guadalajara, Mexico 25 - 28 Oct 2015 IEEE. https://doi.org/10.1109/ISC2.2015.7366196

A portable wireless-based architecture for solving minimum digital divide problems

Fenu, G. and Piras, L. 2008. A portable wireless-based architecture for solving minimum digital divide problems. 4th International Conference on Wireless and Mobile Communications. Athens, Greece 27 Jul - 01 Aug 2008 IEEE. pp. 130-136 https://doi.org/10.1109/icwmc.2008.21
  • 1877
    total views of outputs
  • 609
    total downloads of outputs
  • 101
    views of outputs this month
  • 57
    downloads of outputs this month