5 papers
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Matteo Brosolo, Asmitha K. A., Mauro Conti +5
Malware, a persistent cybersecurity threat, increasingly targets interconnected digital systems such as desktop, mobile, and IoT platforms through sophisticated attack vectors. By…
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
Sameera K. M., Vinod P., Anderson Rocha +2
In the era of data expansion, ensuring data privacy has become increasingly critical, posing significant challenges to traditional AI-based applications. In addition, the increasin…
DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence
Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A. +4
The widespread adoption of Android devices for sensitive operations like banking and communication has made them prime targets for cyber threats, particularly Advanced Persistent T…
IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery
Dincy R. Arikkat, Abhinav M., Navya Binu +6
In the rapidly evolving landscape of cyber security, intelligent chatbots are gaining prominence. Artificial Intelligence, Machine Learning, and Natural Language Processing empower…
MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
Marco Simoni, Andrea Saracino, Vinod P. +1
In this paper, we introduce MoRSE (Mixture of RAGs Security Experts), the first specialised AI chatbot for cybersecurity. MoRSE aims to provide comprehensive and complete knowledge…