학회 정보

DSN 2026: International Conference on Dependable Systems and Networks

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투고 마감일:
2025-11-27
통보일:
2026-03-19
개최일:
2026-06-22
개최지:
Charlotte, North Carolina, USA
개최 횟수:
56
CCF: B   ICORE: A   QUALIS: A1   조회: 151639   팔로우: 201   참가: 20

논문 모집

DSN 2026 (International Conference on Dependable Systems and Networks) is a CCF B / ICORE A / QUALIS A1 conference held in Charlotte, North Carolina, USA on 2026-06-22. The paper submission deadline is 2025-11-27. Acceptance notifications are sent on 2026-03-19.

Society is increasingly dependent on the dependability and security of all types of computing systems. These systems include the CPUs/GPUs/DPUs/TPUs, mobile/edge devices, clouds, networks, personal computers, large-scale systems, and cyber-physical systems that provide services we use in our everyday lives. Accidents, disasters, failures, incorrect operation, or intentional compromise of these systems and networks can have dire implications on our well-being, our privacy, our society at large, and our planet. The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) is devoted to the mission of ensuring that the computing systems and networks on which society relies are dependable and secure. DSN, one of the longest-running IEEE/IFIP conferences, organizing its 56th edition in 2026, has pioneered the fusion between dependability and security research under a common body of knowledge, understanding the need to simultaneously fight against accidental faults, intentional (malicious) attacks, design errors, and unexpected operation conditions. Its distinctive approach to both accidental faults and malicious attacks has made DSN the most prestigious international forum for presenting research that pushes the boundaries in the robustness and resilience of a wide spectrum of computing systems and networks. All aspects of research and practice of computer system resilience (i.e., dependability and security) are within the scope of DSN. Relevant topics include but are not limited to: 1) innovative systems, architectures, protocols, and algorithms for preventing, detecting, diagnosing, eliminating, or recovering from accidental and malicious threats as well as 2) practical experimentation with and assessment of the dependability and security of all types of computing systems and networks. Authors are invited to submit original papers on all topics within this broad scope. Example topical areas include but are not limited to the following: Hardware (e.g., CPUs/GPUs/DPUs/TPUs, memory systems, systems on chip, I/O devices, storage systems, Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators, emerging technologies, emerging paradigms like processing in memory & quantum computing); Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design); Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security); Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision-making, acceptability, privacy issues); Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems, security and safety of cyber-physical systems); Distributed ledgers/Blockchains (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero-knowledge proofs, cross-chain protocols); AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML/LLM techniques for dependability and security, robustness issues in AI/ML/LLM systems); Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis); Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms).
최종 수정: Dou Sun ()

게재율

평균 게재율: 24% 20년간 (2001–2020).

연도투고 수게재 수게재율(%)
20202914816.5%
20192525421.4%
20182286227.2%
20172215424.4%
20162595822.4%
20152295021.8%
20141815630.9%
20132204620.9%
20122365121.6%
20113545214.7%
20102736523.8%
20092595722%
20082365824.6%
20073077524.4%
20062875719.9%
20053197824.5%
20043778322%
20031464530.8%
20021564830.8%
20011535334.6%

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BAutonomous Agents and Multi-Agent Systems2.6Springer1387-2532
BInformation Systems3.4Elsevier0306-4379
BAutomated Software Engineering3.1Springer0928-8910
AIEEE Transactions on Computers3.8IEEE0018-9340
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.6Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048

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