Two Papers accepted in Prestigious Journals

We are pleased to announce that two papers have been accepted for publication in high-impact journals, contributing to research advancements in human-AI teaming for cybersecurity research.

📌 A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams – Accepted in Expert Systems and Applications (IF: 7.5)
This paper introduces A2C, a modular, multi-stage decision-making framework designed to enhance adaptability and robustness under uncertainty. By integrating AI automation with human expertise through three modes—Automated, Augmented Deferral, and Collaborative Exploration (CoEx)—A2C significantly outperforms conventional automation and selective human intervention. Experimental validation across benchmark datasets, LLM simulations, and real-world cybersecurity studies demonstrates its effectiveness in improving decision outcomes and handling uncertainty.

📌 Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities – Accepted in ACM Computing Surveys (IF: 23.8, ranked 1/143 in Computer Science Theory & Methods)
This paper provides a comprehensive review of alert fatigue in Security Operations Centres (SOCs), a critical challenge impacting cybersecurity analysts. It examines the causes of alert fatigue, the limitations of existing mitigation strategies, and explores how AI-driven automation, augmentation, and human-AI collaboration can enhance SOC efficiency while reducing analyst burnout. The work identifies key research gaps and proposes future directions for improving cybersecurity operations.