4 citations · 8 across the 8 of their papers we have counts for
10 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…
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…
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…
Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews
Mst Eshita Khatun, Halima Akter, Tasnimul Rehan +1
In this digital era, online shopping is common practice in our daily lives. Product reviews significantly influence consumer buying behavior and help establish buyer trust. However…
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
Brandon J Walton, Mst Eshita Khatun, James M Ghawaly +1
Malware analysis is a complex process of examining and evaluating malicious software's functionality, origin, and potential impact. This arduous process typically involves dissecti…
Impact of COVID-19 post lockdown on eating habits and lifestyle changes among university students in Bangladesh: a web based cross sectional study
Faysal Ahmed Imran, Mst Eshita Khatun
Background:Since the confinement of the lockdown, universities transferred their teaching and learning activities in online as an all-out intention to prevent the transmission of t…
Local Rose Breeds Detection System Using Transfer Learning Techniques
Amena Begum Farha, Md. Azizul Hakim, Mst. Eshita Khatun
Flower breed detection and giving details of that breed with the suggestion of cultivation processes and the way of taking care is important for flower cultivation, breed invention…