21 citations · 46 across the 9 of their papers we have counts for
10 papers
Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments
Saeid Sheikhi, Panos Kostakos, Lauri Loven
Federated Learning (FL) in 5G and edge network environments face severe security threats from adversarial clients. Malicious participants can perform label flipping, inject backdoo…
An Empirical Evaluation of AI-Powered Non-Player Characters' Perceived Realism and Performance in Virtual Reality Environments
Mikko Korkiakoski, Saeid Sheikhi, Jesper Nyman +3
Advancements in artificial intelligence (AI) have significantly enhanced the realism and interactivity of non-player characters (NPCs) in virtual reality (VR), creating more engagi…
CYGENT: A cybersecurity conversational agent with log summarization powered by GPT-3
Prasasthy Balasubramanian, Justin Seby, Panos Kostakos
In response to the escalating cyber-attacks in the modern IT and IoT landscape, we developed CYGENT, a conversational agent framework powered by GPT-3.5 turbo model, designed to ai…
Large language models in 6G security: challenges and opportunities
Tri Nguyen, Huong Nguyen, Ahmad Ijaz +3
The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. How…
TSTEM: A Cognitive Platform for Collecting Cyber Threat Intelligence in the Wild
Prasasthy Balasubramanian, Sadaf Nazari, Danial Khosh Kholgh +3
The extraction of cyber threat intelligence (CTI) from open sources is a rapidly expanding defensive strategy that enhances the resilience of both Information Technology (IT) and O…
Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4
Mehrdad Kaheh, Danial Khosh Kholgh, Panos Kostakos
In an era where cyberspace is both a battleground and a backbone of modern society, the urgency of safeguarding digital assets against ever-evolving threats is paramount. This pape…
HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)
Tarek Ali, Panos Kostakos
Machine learning (ML) is crucial in network anomaly detection for proactive threat hunting, reducing detection and response times significantly. However, challenges in model traini…
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15
Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration…
GPT-2C: A GPT-2 parser for Cowrie honeypot logs
Febrian Setianto, Erion Tsani, Fatima Sadiq +3
Deception technologies like honeypots produce comprehensive log reports, but often lack interoperability with EDR and SIEM technologies. A key bottleneck is that existing informati…
Intelligence gathering by capturing the social processes within prisons
Vassilis Kostakos, Panos A. Kostakos
We present a prototype system that can be used to capture longitudinal socialising processes by recording people's encounters in space. We argue that such a system can usefully be…