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20082025
most citedAutonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

21 citations · 46 across the 9 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2025

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…

cs.CR2024★ 1 cited

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…

cs.CR2024★ 8 cited

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…

cs.CR2024★ 2 cited

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…

cs.CR2023★ 5 cited

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…

cs.CR2023

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…

cs.CR2021★ 5 cited

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…