1 citations · 1 across the 6 of their papers we have counts for
8 papers
Toward an Empirical Probabilistic Risk Manifestation Model of Organizational Cybersecurity in SMEs
FNU Nurjahan, Aidan Eiler, Mst Eshita Khatun +2
In this paper, we present a cross-layer empirical study of organizational cybersecurity risk in Small and medium-sized enterprises (SMEs), analyzing 281 validated security findings…
An Evidence-First Multi-LLM Framework for Auditable Critical-Infrastructure Dependency Modeling
Nurjahan, Mst Eshita Khatun, Lamine Noureddine +1
Critical-infrastructure knowledge is distributed across heterogeneous, incomplete, and weakly structured evidence, making dependency models difficult to construct automatically and…
Disclosure Divergence: Measuring Privacy Policy and Data Safety Misalignment at Scale
Mst Eshita Khatun, Lamine Noureddine, Sideeq Bello +1
With the rapid growth of mobile applications, user data privacy has become an increasing concern. While privacy policies describe how apps collect and share data, platforms such as…
A Measurement Study of AI-Environment Realism Gaps in Malware-Analysis Sandboxes
Zhiyong Sui, Lamine Noureddine, Mst Eshita Khatun +4
Sandboxing remains a core technique for observing suspicious program behavior, yet environment-aware malware increasingly suppresses execution when analysis is suspected. Prior gen…
RECON: An LLM-Enhanced Backward Constraint Analysis Framework
Babangida Bappah, Lamine Noureddine, Umar Farooq +1
While traditional techniques, such as symbolic execution, provide a principled foundation for precise constraint reasoning in program analysis, they struggle to scale to modern sof…
A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox
Zhiyong Sui, Lamine Noureddine, Mst Eshita Khatun +3
Sandbox evasion remains a critical challenge for automated malware analysis, as modern malware employs environment checks to detect analysis platforms and suppress malicious behavi…
Exploring Runtime Evolution in Android: A Cross-Version Analysis and Its Implications for Memory Forensics
Babangida Bappah, Lauren G Bristol, Lamine Noureddine +3
Userland memory forensics has become a critical component of smartphone investigations and incident response, enabling the recovery of volatile evidence such as deleted messages fr…
AndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation
Mst Eshita Khatun, Lamine Noureddine, Zhiyong Sui +1
With the exponential growth in mobile applications, protecting user privacy has become even more crucial. Android applications are often known for collecting, storing, and sharing…