22/02/2022 18:02:05

Accepted Special Sessions


Organisers of Special Sessions are responsible for:

  • Select a topic of interest to conference delegates.
  • Obtain papers on this topic, normally at least 5 for an invited special session, but often more. At least 60% of the papers must be by authors that are neither session chairs from their team nor reviewers for the session. 
  • If there are not sufficient papers, final accepted papers will be moved to the general track.
  • Manage the review process for these papers on due time and deadlines.
  • Provide suitable reviewers for the reviews of the papers.
  • Ensure the final versions of the papers are uploaded before the deadline.
  • Attend the conference, and chair the session.
  • Provide a list of international reviewers (name, affiliation, country) who have already accepted to review the papers.
  • Disseminate a call for papers for the special session widely.



Special Session 1

Leveraging Language Models for Enhancing Cybersecurity (LLMEC)

  • Roberto Magán Carrión – University of Granada, Spain
  • Rafael Alejandro Rodríguez Gómez – University of Granada, Spain

This special session aims to explore the intersection of language models (LMs) and cybersecurity, focusing on the advancements, challenges, and novel approaches in leveraging large-scale language models (LLMs) to enhance cybersecurity measures. We invite contributions that showcase innovative research, case studies, and practical applications of LLMs in various cybersecurity domains, including threat detection, anomaly detection, incident response, and risk management. Topics of interest include but are not limited to the use of LLMs for malware detection, phishing detection, threat intelligence, insider threat detection, malware generation, and adversarial defense. Additionally, we encourage submissions that address ethical considerations, scalability challenges, and the interpretability of LLM-based cybersecurity solutions.
This special issue aims to provide a comprehensive overview of the state-of-the-art research in LLM-driven cybersecurity and facilitate discussions on future directions and opportunities in this rapidly evolving field.