Liliana Pasquale
Academic
Liliana is an assistant professor at University College Dublin since June 2016. She received her PhD in Information and Communication Technology from Politecnico di Milano (Italy) in 2011 and was summer intern at IBM TJ Watson Research Center (USA) in 2008.
Her research interests include requirements engineering and adaptive systems. In particular, her work has focused on using runtime requirements models to engineer complex systems, including service compositions and multi-tenant services, cyber-physical systems, mobile device management software and more generally systems aimed to satisfy their security and privacy requirements and to be forensically ready.
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2024. GDPR compliance via software evolution: Weaving security controls in software design. Journal of Systems and Software. 216:112144.
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2023. Forensic readiness of industrial control systems under stealthy attacks. Computers & Security. 125:103010.
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2023. Enhancing Ransomware Classification with Multi-Stage Feature Selection and Data Imbalance Correction. nternational Symposium on Cyber Security, Cryptology, and Machine Learning.
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2020. Proceedings of the 26th International Working Conference on Requirements Engineering: Foundation for Software Quality. 26th International Working Conference.
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2020. Automated Modelling of Security Incidents to Represent Logging Requirements in Software Systems. Proceedings of the 15th International Conference on Availability, Reliability and Security.
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2020. Towards Automated Logging for Forensic-Ready Software Systems. 6th International Workshop on Evolving Security and Privacy Requirements Engineering .
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2020. Software Engineering in Society. IEEE Software. 37:7-9.
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2020. Incidents Are Meant for Learning, Not Repeating: Sharing Knowledge About Security Incidents in Cyber-Physical Systems. IEEE Transactions on Software Engineering. PP:1-1.
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2019. On the Automated Management of Security Incidents in Smart Spaces. IEEE Access. PP:1-1.
