18th International Conference on Security of Information and Networks
SIN'26 provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of security in information and networks. The conference seeks original contributions in cryptographic algorithms, security schemes, AI security, cloud security, IoT security and network security.
IEEE Record #71704 · indexed in Scopus and IEEE Xplore.
SIN'26 seeks original contributions in all areas of information and network security. Submissions must be original, unpublished work not under simultaneous review elsewhere. Papers, special sessions, tutorials and workshops addressing all aspects of security in information and networks are welcome.
Submissions undergo a double-blind review process by at least three international experts. Target acceptance rate is approximately 35%.
Papers must be prepared in A4 format and must not exceed 6 pages in total, including all content. Page numbers, headers, and footers must not be included in the manuscript.
Papers may be prepared using MS Word or LaTeX. Authors are required to use the official conference templates when preparing their manuscripts, as given below. Please notice that A4 size format must be selected.
Manuscript Templates for Conference Proceedings | IEEE
As part of the IEEE copyright process, an email will be sent by IEEE to the first author requesting confirmation and approval of the required copyright agreement.
Authors are fully responsible for ensuring that their manuscripts comply with the IEEE formatting requirements and the official conference template.
If the Organizing Committee determines that a manuscript does not comply with the IEEE formatting requirements, the first author will be notified and may be requested to make the necessary corrections. However, the Organizing Committee is not responsible for correcting or reformatting the manuscript on behalf of the authors.
Submitting the same paper, whether in the same or a different language, to more than one conference during the same period is considered a violation of academic and publication ethics.
Papers found to violate this ethical rule will be removed from the conference program.
All authors are expected to comply fully with academic ethical principles and all conference rules and requirements throughout the submission, publication, and presentation process.
Authors are responsible for the originality, accuracy, integrity, and ethical compliance of their submissions. The use of Artificial Intelligence (AI) or Generative AI tools in preparing a manuscript must comply with applicable academic and publication ethics. AI tools must not be listed as authors and cannot assume responsibility for the content.
Authors must disclose the use of AI tools whenever they have been used substantially in generating, editing, translating, analyzing, or otherwise preparing the manuscript. Undisclosed or inappropriate use of AI-generated content may constitute a violation of academic and publication ethics and may result in rejection or withdrawal of the paper.
Authors remain fully responsible for all content submitted, including any AI-generated or AI-assisted material, and must carefully verify the accuracy, originality, citations, and potential biases of such content.
Full Professor and University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures at the University of Ottawa; founding director of the SCVIC and NEXTCON labs. Co-author of 300+ peer-reviewed publications and among the top 2% cited scientists in telecommunications and networking (Stanford). Recipient of the King Charles III Coronation Medal (2025).
President’s Professor of Computer Science and Engineering at Arizona State University and Director of ASU’s Center for Assured and Scalable Data Engineering (CASCADE). His research spans scalable data management and analysis; he has published over 250 journal and peer-reviewed conference articles and holds 9 patents. An ACM Distinguished Scientist, he serves as a Trustee of the VLDB Endowment and as an associate editor of ACM TODS, ACM Computing Surveys and PVLDB.
Director of the Research and Innovation Center “CyberTech” at Astana IT University, Kazakhstan; also represents the National Institute for Cyber Policy and Research at the Digital Government Support Center of the Republic of Kazakhstan. Her research focuses on industrial and OT/SCADA security, AI security, digital forensics, cryptographic technologies, cybersecurity standards and the protection of critical digital infrastructure, with extensive experience in industrial automation and control systems.
Mubashar Iqbal received his doctoral degree in computer science from the University of Tartu (UT) in Estonia. He is currently a lecturer in information security at the same university. He is a member of the renowned information security research group at UT (https://infosec.cs.ut.ee), where he actively conducts impactful research and teaches. His research interests focus on blockchain technology, digital twins, cybersecurity, security risk management, smart infrastructure, and cyber-physical systems. He has been an IEEE senior member since 2025.
Professor at the Institute of Computer Science, University of Tartu, Estonia. BSc in Mathematics (Computer Science) from Ege University (2004); MSc and PhD in Cryptography from Middle East Technical University (2008, 2010). Research interests: post-quantum cryptography, algorithms and complexity, computations in finite fields, risk assessment, avionics cybersecurity and IoT security.
Chair / Professor in Digital Engineering for Future Technologies at the University of York, with a part-time professorship in Energy Informatics at NTNU, Norway. His research sits at the intersection of cyber-physical-social systems, digital engineering and energy informatics — incorporating artificial intelligence, blockchain, digital twins and cyber law. BEng in Electrical Engineering from Yıldız Technical University (2000); MSc and PhD from the University of Kassel, Germany (2005, 2010).
This topic introduces AI agents that empower blockchain developers by automating smart contract authoring, debugging and workflow assistance. We will showcase working demos of LLM-native developer tools and share hands-on experience growing open blockchain developer communities. We will discuss practical challenges in building reliable AI agents for Web3 and how such tooling lowers entry barriers and expands the blockchain builder ecosystem.
Xiao Wu (Ling) is a senior engineer and entrepreneur with over 15 years of software engineering experience. As CEO of White Matrix Inc., an Ant Group-backed blockchain firm, he founded ChainIDE — the world’s largest cloud-native blockchain IDE. Serving as IEEE Blockchain Vice Regional Coordinator for the Middle East since March 2025, Xiao has co-organized 100+ global Web3 developer events such as ETH Riyadh and ETH Shanghai. In 2023, ethereum.org officially recognized and recommended ChainIDE, expanding its global developer adoption.
Beykent University, Istanbul, Türkiye
Day 1October 14, 2026 · Wednesday
Day 2October 15, 2026 · Thursday
Held in conjunction with SINCONF 2026. Workshop Description The International Workshop on Trustworthy and Secure Embedded AI provides a forum for researchers and practitioners to present advances in securing AI-powered embedded, edge, IoT and cyber-physical systems. Topics include robust, privacy-preserving, explainable and trustworthy AI for resource-constrained environments. Topics of Interest Trustworthy Embedded AI · Adversarial Machine Learning · Generative and Agentic AI Security · TinyML Security · Federated and Split Learning · Secure AI Inference · Trusted Execution Environments · AI Model Watermarking · Blockchain for Embedded AI · Post-Quantum Cryptography · Edge AI Security · Secure Robotics and Autonomous Systems · Industrial IoT Security · Explainable AI · Secure Digital Twins · Zero Trust Architectures Important Dates Paper Submission: 09 August 2026 · Notification: 1 September 2026 · Camera-ready: 15 September 2026 · Workshop: 14–15 October 2026 Submission Papers are submitted through the main SINCONF 2026 submission system (Microsoft CMT) — the same system and process as the main track. Workshop Chairs Dr. Omar Cheikhrouhou (University of Sfax, Tunisia) · Dr. Anis Koubaa (Alfaisal University, Saudi Arabia) · Dr. Aymen Abid (University of Sfax, Tunisia) · Dr. Raida Hentati (University of Sfax, Tunisia)
Held in conjunction with SINCONF 2026. Aims and Scope Recent advances in Artificial Intelligence (AI) have led to the emergence of Agentic AI—autonomous intelligent systems capable of perceiving their environment, reasoning, planning, collaborating with other agents, and taking actions to achieve complex goals with minimal human intervention. Agentic AI is expected to play a transformative role in the next generation of cyber-physical systems (CPS), enabling intelligent decision-making across smart cities, industrial automation, healthcare, transportation, energy systems, and the Internet of Things (IoT). Despite its enormous potential, deploying Agentic AI in safety- and mission-critical environments presents significant challenges. Autonomous agents must operate in dynamic and uncertain environments while satisfying stringent requirements for security, trustworthiness, robustness, transparency, explainability, privacy, resilience, and regulatory compliance. Furthermore, the integration of foundation models, multimodal AI, edge intelligence, and distributed multi-agent systems introduces new opportunities as well as emerging threats that require innovative solutions. This workshop aims to bring together researchers, engineers, and practitioners from academia and industry to present the latest advances in trustworthy Agentic AI for cyber-physical systems and smart environments. We welcome original research articles, comprehensive review papers, and application-oriented studies addressing theoretical foundations, novel algorithms, system architectures, real-world deployments, benchmarks, and experimental evaluations. Topics of Interest Agentic Artificial Intelligence: Autonomous AI agents · Intelligent autonomous systems · Goal-oriented AI agents · Multi-agent systems · Collaborative and cooperative AI · Agent orchestration and coordination · AI planning and reasoning · Embodied AI · Agentic workflows · Autonomous decision-making Trustworthy AI: Explainable and interpretable AI · Responsible AI · Trustworthy AI frameworks · Fairness and bias mitigation · AI transparency · AI safety and assurance · Robust and reliable AI · AI governance and compliance · Human-in-the-loop AI · Ethical AI for autonomous systems Cybersecurity for Agentic AI: AI-driven cyber defense · Autonomous intrusion detection and prevention · Intelligent threat detection · AI-powered security operations · Cyber threat intelligence · Adversarial machine learning · Secure AI agents · AI model security · Prompt injection and jailbreak defenses · Privacy-preserving AI · Federated and distributed security Cyber-Physical Systems: Intelligent cyber-physical systems · Smart manufacturing and Industry 5.0 · Industrial IoT security · Digital twins · Intelligent monitoring and control · Critical infrastructure protection · Autonomous industrial systems · CPS resilience · Predictive maintenance · Secure sensing and actuation Smart Environments: Smart cities · Smart buildings · Smart homes · Intelligent transportation systems · Connected and autonomous vehicles · Smart healthcare · Precision agriculture · Environmental monitoring · Smart energy systems · Public safety applications Edge Intelligence and Networking: Edge AI · Edge-cloud collaboration · Fog computing · TinyML · AI-enabled wireless sensor networks · AI for 5G and 6G networks · AI-native networking · Software-defined networking · Network slicing · Intelligent resource management 5G, Beyond 5G, and 6G Intelligent Networks: AI-native 5G and 6G networks · Agentic AI for 5G/6G network management · AI-driven network orchestration · Intelligent Radio Access Networks (RAN) · Open RAN (O-RAN) security · Network slicing security · AI-enabled mobile edge computing · Semantic communications · Digital twins for 5G/6G networks · Intelligent resource allocation · Secure wireless communications Foundation Models and Large AI Models: Large Language Models for CPS · Foundation models for IoT · Vision-language models · Multimodal AI · Retrieval-augmented generation for cyber-physical applications · Domain-specific foundation models · Efficient model adaptation · Small language models at the edge Learning and Optimization: Reinforcement learning · Online and continual learning · Self-supervised learning · Transfer learning · Federated learning · Distributed optimization · Multi-objective optimization · Swarm intelligence · Evolutionary computation Emerging Applications: Intelligent robotics · UAV and drone systems · Digital healthcare · Autonomous transportation · Smart agriculture · Environmental sustainability · Disaster management · Intelligent surveillance · Space and satellite systems · Intelligent logistics Important Dates Paper Submission: 09 August 2026 · Notification: 1 September 2026 · Camera-ready: 15 September 2026 · Workshop: 14–15 October 2026 Submission Information Papers are submitted through the main SINCONF 2026 submission system (Microsoft CMT) — the same system and process as the main track. Prospective authors are invited to submit original, unpublished manuscripts that are not under consideration for publication elsewhere. Both methodological contributions and application-driven studies with strong experimental validation are encouraged. Review articles that provide comprehensive insights into emerging research directions are also welcome. We look forward to receiving your contributions and to advancing the state of the art in trustworthy Agentic AI for cyber-physical systems and smart environments. Guest Editors Omar Cheikhrouhou (University of Sfax, Tunisia) · Jorge Scmidth (Digital Factory Vorarlberg GmbH, Dornbirn, Austria) · Ouissem Ben Fredj (Higher Institute of Applied Sciences and Technologies, University of Kairouan, Tunisia) · Khaleel Mershad (Lebanese American University, Lebanon)
Held in conjunction with SINCONF 2026. The programme will be announced.
Visa information for international participants attending SIN 2026 in Türkiye. All participants must hold a passport valid for at least 6 months beyond the planned entry date, with at least one blank page for stamps. Türkiye's visa policy depends on your nationality and passport type; conference attendance generally falls under tourism or business (conference / seminar / meeting), allowing short stays of up to 90 days within any 180-day period in most cases.
Visa-exempt nationalities: citizens of many countries (most EU / Schengen states, the UK, USA ordinary passports, Japan, South Korea, and many others) may enter without a visa for short stays — a valid passport is enough.
e-Visa: nationals of many countries can obtain a single- or multiple-entry e-Visa online at evisa.gov.tr (usually within minutes, 24/7). Requirements: a valid passport, an email address and a credit/debit card. Print or save the e-Visa PDF and present it at entry. e-Visa is not valid for work or study.
Sticker (embassy) visa: if you are not eligible for exemption or e-Visa, apply through the nearest Turkish Embassy/Consulate via the pre-application system at konsolosluk.gov.tr. Processing can take weeks to months — apply early.
Invitation letter: many embassies appreciate (some require) an official invitation letter from the organizers. Contact the conference secretariat early with your full name, passport number, presentation details, dates and venue; some letters are issued only after registration/payment.
Start the visa process at least 2–3 months before travel. Always verify with the official sources (mfa.gov.tr and evisa.gov.tr) closer to your travel date.