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cs.CR2026

Cross-Corpus Evaluation of Generalizable Vulnerability Detection in IoT Firmware

Sadib Hassan Rumman, Md. Shariful Islam, Md Rayhanur Rahman

IoT firmware vulnerability detection is constrained by ecosystem heterogeneity, resource-limited platforms, and benchmark quality limitations. Existing datasets are often synthetic…

cs.CR2026

Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

Md Erfan, Ahmed Ryan, Md Kamal Hossain Chowdhury +1

Connected and Autonomous Vehicles (CAVs) rely on interconnected software and hardware components, including sensors, Electronic Control Units, in-vehicle infotainment systems, and…

cs.CR2026

Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation

Abir Ashab Niloy, Ahmed Ryan, Imamul Hossain Rafi +2

Multi-stage cyberattacks span system, network, and browser logs. Detecting them requires correlating events across all three sources. Machine learning methods can learn these cross…

cs.CR2026

Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports

Ahmed Ryan, Saad Sakib Noor, Md Erfan +3

Classifying Cyber Threat Intelligence (CTI) using MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) is essential for proactive defense, but historically required…

cs.CR2026

AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations

Shaswata Mitra, Raj Patel, Sudip Mittal +2

Multi-agent systems (MAS) powered by LLMs promise adaptive, reasoning-driven enterprise workflows, yet granting agents autonomous control over tools, memory, and communication intr…

cs.CR2026

An Evaluation of Large Language Models for Detection of Malicious Python Packages

Ahmed Ryan, Ibrahim Khalil, Abdullah Al Jahid +4

Modern software development relies on open-source package repositories. Attackers use these to distribute malicious packages. Large Language Models (LLMs) can automatically detect…

cs.CR2025

Unveiling Malicious Logic: Towards a Statement-Level Taxonomy and Dataset for Securing Python Packages

Ahmed Ryan, Junaid Mansur Ifti, Md Erfan +2

The widespread adoption of open-source ecosystems enables developers to integrate third-party packages, but also exposes them to malicious packages crafted to execute harmful behav…

cs.CR2025

Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles

Md Wasiul Haque, Md Erfan, Sagar Dasgupta +2

The interest in autonomous vehicles (AVs) for critical missions, including transportation, rescue, surveillance, reconnaissance, and mapping, is growing rapidly due to their signif…

cs.CR2025

FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection

Shaswata Mitra, Subash Neupane, Martin Duclos +5

Signature-based Intrusion Detection Systems (IDS) detect malicious activity by matching network or host events against predefined rules. Security analysts manually develop these ru…