Formulating Subgroup Discovery As a Quantum Optimization Problem for Network Security

While current network intrusion detection systems achieve satisfactory accuracy, they often lack explainability. Subgroup Discovery SD addresses this by building interpretable rules that characterize feature interactions associated with attack traffic. With large datasets, classical heuristic bea...

Exploring the Drivers of Information Security Policy Compliance among Contingent Employees: A Social, Deterrent, and Involvement-Based Approach

As institutions increasingly depend on Information Systems ISs, ensuring compliance with Information Systems Security Policies ISSPs is critical, especially among contingent employees, whose engagement differs from that of permanent staff. This study examines how Subjective Norm, Deterrence...

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation

The development of artificial intelligence demands that models incrementally update knowledge by Continual Learning CL to adapt to open-world environments. To meet privacy and security requirements, Continual Unlearning CU emerges as an important problem, aiming to sequentially forget particular...