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 Submissions must be original, unpublished work not under simultaneous review elsewhere.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.
Transportation, industrial automation, public safety and smart city services increasingly depend on 5G, and their weakest point is often the radio link rather than the software stack. Jamming, spoofing and smart interference on synchronization signals can disrupt networks without breaking any encryption. This keynote treats the radio spectrum as a security frontier and shows how AI can protect it. It first maps where 5G is exposed at the physical layer. It then presents detectors that work directly on raw I/Q samples. Examples include RF fingerprinting against device spoofing, deep learning jamming detection validated over the air, and explainable Tsetlin Machine models for low-cost edge hardware. The keynote then moves from detection to resilience. Federated learning trains detectors across sites without sharing raw data, and reinforcement learning, NOMA and reconfigurable intelligent surfaces keep edge services reliable during an attack. The keynote closes with open problems, including extending these protections to satellite links that serve remote communities in 6G.
Burak Kantarci is a Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa, where he holds the University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures. He is the Founding Director of the Smart Connected Vehicles Innovation Centre (SCVIC) and leads the NEXTCON Research Laboratory. His research focuses on AI-native networking, edge intelligence, trustworthy artificial intelligence, cybersecurity, network resilience, digital twins, and intelligent communication systems for critical infrastructures. He has authored/co-authored more than 300 peer-reviewed publications, holds multiple patents, and has led numerous collaborative research initiatives with industry and government partners. Dr. Kantarci serves as an IEEE Communications Society Distinguished Lecturer and an IEEE Systems Council Distinguished Lecturer. He is an Associate Editor of several leading IEEE journals, including IEEE Transactions on Network and Service Management, IEEE Communications Surveys & Tutorials, and IEEE Networking Letters. He also previously served as an Associate Editor for IEEE Internet of Things Journal and IEEE Transactions on Industrial Informatics. He is the recipient of the IEEE ComSoc Communications Software Technical Committee Technical Achievement Award (2023), the IEEE Canada J. M. Ham Outstanding Engineering Educator Medal (2026), the Ontario Minister's Award of Excellence in Innovation and Entrepreneurship (2021), the George S. Glinski Award for Excellence in Research, the King Charles III Coronation Medal (2025), and multiple IEEE Best Paper Awards. Dr. Kantarci is passionate about advancing trustworthy AI-native communication systems that bridge fundamental research and real-world impact through close collaboration with academia, industry, and government. He is a Fellow of the IET, a senior member of the IEEE and ACM.
Understanding the underlying dynamics of emerging phenomena is critical in ensuring the resilience of cyber-physical systems. In such environments, AI systems can provide trustable recommendations only through (a) a deep understanding of the relationships and interactions among diverse, spatially and temporally distributed entities and (b) the capability to develop, and explain, informed forecasts based on such an understanding. In this talk, I argue that achieving these necessitates the ability to use spatio-temporal information to gain causal situational awareness and also to leverage such causal information to tackle both aleatoric and epistemic uncertainties in decision making. Despite the apparent promise of such a causally-grounded approach, the core technologies required to achieve this are in their early stages and frameworks to realize their potential are still lacking.
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
Day 3October 16, 2026 · Friday
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. Organised by IEEE Blockchain Türkiye. Aim The IEEE International Blockchain Workshop Istanbul 2026 brings together researchers, practitioners, policymakers and students to examine how blockchain and distributed ledger technologies (DLT) can deliver secure, trustworthy and resilient digital infrastructure. Building on the 2025 edition at Istanbul Technical University, the 2026 workshop sits alongside SIN 2026. This placement puts blockchain directly in conversation with the information and network security community. Objectives Bridge security and decentralisation. Present recent advances where blockchain meets cybersecurity, cryptography, privacy and AI. · Move from concept to deployment. Highlight real-world implementations, lessons learned and evaluation results, rather than only theoretical proposals. · Address trust, governance and regulation. Discuss compliance, data sovereignty, standards and responsible use of decentralised systems. · Strengthen the regional and international ecosystem. Connect academia, industry, the public sector and student communities, with a focus on collaboration between Türkiye and the wider international community. Scope The workshop invites original research, applied studies, case studies, position papers and demonstrations. Topics of interest include, but are not limited to, the following areas. Security, privacy and cryptography Security analysis and formal verification of blockchain protocols and smart contracts · Post-quantum cryptography for blockchain and DLT · Zero-knowledge proofs, secure multi-party computation and privacy-preserving ledgers · Attacks, vulnerabilities and defences, including consensus, network, MEV and bridge exploits · Decentralised identity (DID), self-sovereign identity and verifiable credentials Blockchain and artificial intelligence AI-driven smart contract generation, auditing and automation · Blockchain for trustworthy, auditable and accountable AI · Federated learning and data marketplaces on distributed ledgers · Agentic AI systems interacting with blockchain infrastructure Architecture, scalability and interoperability Consensus mechanisms, Layer-2 solutions, sharding and performance evaluation · Cross-chain interoperability and standards · Blockchain for IoT, edge computing and cyber-physical systems · Energy-efficient and sustainable blockchain designs Applications and sectoral use cases Tokenisation of real-world assets, digital finance and CBDCs · Healthcare data sharing, digital health wallets and clinical interoperability · Supply chain traceability, including food and logistics · Energy trading, smart grids and climate or ESG applications · E-government, digital product passports and public-sector services · Education, credentials and intellectual property management Governance, regulation and society Legal compliance, data sovereignty and regulatory frameworks, such as MiCA and national regulation · Blockchain standardisation activities, including IEEE standards · Ethical, economic and societal impacts of decentralised technologies · Challenges and open problems in blockchain adoption Who should participate The workshop is designed for academic researchers, graduate students, industry engineers, start-ups, public-sector IT professionals, regulators and standards contributors working on or with blockchain and DLT. Invited Speakers Dr. Mubashar Iqbal (University of Tartu, Estonia) · Xiao Wu (Ling) (White Matrix Inc., CEO / ChainIDE)
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.