International Forum on Cyber Security, Privacy, and Trust
(NEMESIS)

Riga, Latvia, 23-26 August, 2026

In today’s digital and AI-driven age, information security forms a critical foundation for protecting user data, electronic transactions, and increasingly intelligent systems. Safeguarding communications, data infrastructures, and AI models in a constantly evolving, interconnected world is crucial. Security as a scientific discipline now includes complex challenges that require collaboration among computer science, engineering, information systems, intelligence systems, and AI communities.

The International Forum on Cyber Security, Privacy, and Trust (NEMESIS'26) highlights diverse developments and deployments in cyber information security and artificial intelligence security. It aims to address current challenges and present the latest research contributions at the intersection of cybersecurity and AI. The forum serves as a platform to explore technical security aspects, innovative privacy-preserving techniques empowered by AI,, and trust frameworks in emerging intelligent systems. Additionally, it broadens its scope to cover newly prominent topics such as AI security, adversarial learning, social, organizational, and intelligence system-driven security research directions. NEMESIS’26 provides an inclusive forum for presenting theoretical and applied research papers, case studies, implementation experiences, and work-in-progress results in cybersecurity.

NEMESIS’26 is designed to attract researchers and practitioners from academia and industry, creating an international platform to exchange ideas and experiences in the evolving dimensions of information security and AI applications across various application domains. This initiative fosters identification of new research directions and the tackling of modern research challenges, focusing on both securing AI and leveraging AI for enhanced security. The objectives of NEMESIS’26 are summarized as follows:

1. Review and Advance Research Findings: Consolidate and assess research findings in cybersecurity and AI security, emphasizing protection of diverse assets, processes, and AI-driven systems, while identifying cross-domain applicable approaches.

2. Encourage Synergy: Promote integrated security solutions by combining AI-driven methodologies, risk-based management, soft security methods inspired by social sciences and intelligence-driven frameworks to address complex and evolving threats.

3. Facilitate Knowledge Exchange: Enhance collaboration and transfer of security-related knowledge and experiences among experts, advancing state-of-the-art methods and adapting them to emerging AI-powered and intelligence systems environments.

Topics

Topics of interest include but are not limited to:

AI Security: adversarial machine learning, robustness of AI models, AI safety, explainability, and trust in AI systems
AI for Security: AI-driven threat detection, anomaly detection, and automated response systems
Ethical, legal, and governance challenges in AI security
Cryptography and post-quantum algorithms
Critical infrastructure protection
Security of wireless sensor networks
Hardware-oriented information security
Organization- related information security
Social engineering and human aspects in cybersecurity
Individuals’ identification and privacy protection methods
Pedagogical approaches for information security education
Information security and business continuity management
Tools supporting security management and development
Decision support systems for information security
Trust in emerging technologies and applications
Digital right management and data protection
Threats and countermeasures for cybercrimes
Cyber and physical security infrastructures
Risk assessment and management
Steganography and watermarking
Digital forensics and AI-enabled crime investigation
Security knowledge management
Security of cyber-physical systems
Privacy enhancing technologies
Trust and reputation models
Misuse and intrusion detection
Security and privacy in cloud, big data, and distributed AI systemsNetwork security enhanced by AI, including Zero Trust architectures
Human-centric cybersecurity
Cybersecurity skills
Internet of Things cybersecurity
Supply chain cybersecurity
Edge Computing cybersecurity
Cyber Threat Intelligence
Cyber resilience strategies

NEMESIS’26 offers a comprehensive forum for presenting theoretical and applied research papers, case studies, implementation experiences, and work-in-progress results in the evolving domain of cyber and AI security. It supports the development and dissemination of knowledge critical for securing digital, AI-driven futures.

Topical Area Curators

Felkner, Anna, Naukowa i Akademicka Sieć Komputerowa, Poland
Kadobayashi, Youki, Nara Institute of Science and Technology, Japan
Ioannidis, Sotirios, Technical University of Crete, Greece
Świątkowska, Joanna, European Cyber Security Organisation, Belgium
Debar, Hervé, Télécom SudParis, Institut Mines-Télécom, France

Contact: anna.felkner@nask.pl

Submission rules

Authors should submit their papers as Postscript, PDF or MSWord files.
The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
Preprints containing accepted papers will be published online.
Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
Conference proceedings will be submitted for indexation according to information here.
Organizers reserve right to move accepted papers between FedCSIS Sessions.