Call for Papers
The International Conference on Cybersecurity Systems, Technologies and applications (CSTA 2026) is a lively and inclusive gathering where researchers, academics, and industry professionals from across the globe come together to explore the latest advancements in Cybersecurity Systems and intelligent systems. Cybersecurity Systems received a lot of attention as AI continues to reshape industries and push the boundaries of what’s possible. CSTA 2026 creates a welcoming space for innovation, collaboration, and the exchange of ideas in the Cybersecurity domain. CSTA 2026 serves as a premier platform for researchers, academics, and industry professionals to converge and explore the latest advancements, challenges, and applications in the dynamic fields of Cybersecurity Models and Systems. The conference provides a collaborative environment for the exchange of ideas, fostering innovation and promoting interdisciplinary research at the intersection of these transformative domains.
The International Conference on Cybersecurity Systems, Technologies and applications (CSTA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. CSTA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. CSTA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to:
- Cybersecurity and Data-Driven Systems
- Deep Learning, Representation Learning, and Transfer Learning
- Reinforcement Learning and Adaptive Systems
- Federated, Distributed, and Edge AI
- Reinforcement Learning and Autonomous Agents
- Federated Learning and Distributed AI Systems
- AI Applications and Intelligent Systems
- Scalable and High-Performance AI Architectures
- Edge AI, Cloud AI, and Embedded Intelligence
- Optimization and Resource-Aware AI Systems
- Cybersecurity and Multimodal AI
- Natural Language Processing and Understanding
- Speech Recognition and Conversational Agents
- Multimodal Learning and Vision-Language Systems
- Knowledge Representation and Reasoning
- Data Mining, Knowledge Discovery, and Information Retrieval
- Automated Planning and Scheduling
- Cybersecurity in Generative AI, Foundation Models, and Large Language Models
- Generative AI and Large Language Models (LLMs)
- Explainable and Responsible AI
- Federated, Distributed, and Edge AI
- Reinforcement Learning and Autonomous Agents
- AI for Decision Support Systems
- Natural Language Processing and Computational Linguistics
- Multilingual and Low-Resource Language Models
- Human-Computer Interaction (HCI) and Assistive Technologies
- Conversational AI and Dialogue Systems
- Computational Language and Human-Centered Systems
- Prompt Engineering and Fine-tuning
- Multimodal LLMs
- Agentic AI
- Cybersecurity Applications
- Robotics and Autonomous Systems
- AI for Healthcare, Smart Cities, and Transportation
- AI in Finance, Education, and Industry 4.0
- AI for Cybersecurity, Privacy, and Digital Trust
- AI Infrastructure and Engineering
- Recommender Systems and Personalization
- AI for Social Good and Humanitarian Applications
- Emerging Trends and Future Directions in AI Systems
- Artificial Intelligence Security
- Responsible and Trustworthy AI
- Explainable AI and Transparency
- Ethical and Societal Implications of AI
- AI Safety, Robustness, and Security
- AI Policy, Regulation, and Governance
Submission Guidelines:
Submission System:
Paper format
Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission. Paper submissions must conform with the “blind” review policy.
Length
Submitted full papers may be up to 8 pages (all including References and Appendices ) with two additional pages may be added for a fees.
Originality
Papers submitted to CSTA must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to CSTS. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately.
Proofreading:
Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)
IMPORTANT: No-Show Policy
At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings. A paper not presented or presented by a non-author without prior written approval by the TPC Chair will be removed from the final conference proceedings and no registration refund can be made to the authors of these papers.
Publication:
All papers that are accepted, registered, and presented in CSTA 2026 and the workshops co-located with it will be submitted to IEEEXplore for publication Technical and to be indexed by Scopus.