activity
20202025
most citedDeep Learning for Community Detection: Progress, Challenges and Opportunities

195 citations · 204 across the 9 of their papers we have counts for

collaborators
Showing cs.CRShow all

5 papers · 1 filter

cs.CR20251 cited

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres

Ronal Singh, Shahroz Tariq, Fatemeh Jalalvand +4

The integration of Large Language Models (LLMs) into Security Operations Centres (SOCs) presents a transformative, yet still evolving, opportunity to reduce analyst workload throug…

cs.CR2025

Adaptive alert prioritisation in security operations centres via learning to defer with human feedback

Fatemeh Jalalvand, Mohan Baruwal Chhetri, Surya Nepal +1

Alert prioritisation (AP) is crucial for security operations centres (SOCs) to manage the overwhelming volume of alerts and ensure timely detection and response to genuine threats,…

cs.CR2025

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)

Ronal Singh, Mohan Baruwal Chhetri, Surya Nepal +1

Modern Security Operations Centres (SOCs) integrate diverse tools, such as SIEM, IDS, and XDR systems, offering rich contextual data, including alert enrichments, flow features, an…

cs.CR20251 cited

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity

Shahroz Tariq, Ronal Singh, Mohan Baruwal Chhetri +2

This study investigates whether large language models (LLMs) can function as intelligent collaborators to bridge expertise gaps in cybersecurity decision-making. We examine two rep…

cs.CR2020

Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity

Tingmin Wu, Wanlun Ma, Sheng Wen +4

Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal securit…