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.



Special Session 2

Artificial Intelligence for Protecting the Internet of Things (AIP-IoT)

  • Álvaro Herrero – University of Burgos, Spain
  • Félix Iglesias – TU Wien, Austria
  • Daniel Urda – University of Burgos, Spain
  • Nuno Lopes – Polytechnic of Cávado and Ave, Porugal
  • Diego Granados – University of Burgos, Spain

The Internet of Things (IoT) is everywhere, with devices and networks gathering and communicating information in many different domains at present time. These comprise varied and critical environments such as industrial, health, security and domestic, among others. On the other hand, comparatively, scarce resources have been applied so far to protect such resources and communications which carry relevant and critical information. In parallel, Artificial Intelligence (AI) can nowadays be considered a consolidated technology that is being applied to a wide variety of domains, comprising the many brand-new applications that are daily proposed in the present hype. Among these domains, AI has also been successfully applied to develop virtual sensors, gain insights from sensor and/or device data, and many others. To fill the gap, this special session is aimed at presenting innovative applications of Artificial Intelligence for protecting IoT assets.

This Special Session activity is part of the AI4SECIoT Strategic Project (“Artificial Intelligence for Securing IoT Devices”), under the collaboration agreement signed between the National Cybersecurity Institute (INCIBE) and the University of Burgos. This initiative is carried out within the framework of the Recovery, Transformation and Resilience Plan funds, financed by the European Union (Next Generation).