3 papers
cs.CR2025
AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
Wei Shao, Yuhao Wang, Rongguang He +2
Existing defence mechanisms have demonstrated significant effectiveness in mitigating rule-based Denial-of-Service (DoS) attacks, leveraging predefined signatures and static heuris…
cs.CY2025
RINSER: Accurate API Prediction Using Masked Language Models
Muhammad Ejaz Ahmed, Christopher Cody, Muhammad Ikram +5
Malware authors commonly use obfuscation to hide API identities in binary files, making analysis difficult and time-consuming for a human expert to understand the behavior and inte…
cs.CR2025
FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk
Sajal Halder, Muhammad Ejaz Ahmed, Seyit Camtepe
Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. Whil…