会议信息

DSN 2027: International Conference on Dependable Systems and Networks

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DSN
截稿日期:
2026-11-25 还有 121 天
通知日期:
2027-03-18
会议日期:
2027-06-22
会议地点:
Berlin, Germany
届数:
CCF: B   ICORE: A   QUALIS: A1   浏览: 156792   关注: 201   参加: 20

征稿

DSN 2027 (International Conference on Dependable Systems and Networks) is a CCF B / ICORE A / QUALIS A1 conference held in Berlin, Germany on 2027-06-22. The paper submission deadline is 2026-11-25. Acceptance notifications are sent on 2027-03-18.

The Annual IEEE 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 conferences, organizing its 57th edition in 2027, 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) Artificial Intelligence and 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) Agentic AI systems (e.g., dependability and security, verification and certification, alignment and safety, novel attacks, prompt injection and jailbreaking in agentic systems, security and privacy in multi-agent architectures, AI architectures for cybersecurity applications) 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 agentic systems, quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms)
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录用率

平均录用率: 24% 20 年间 (2001–2020).

年份提交数录用数录用率(%)
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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相关期刊

CCF全称影响因子出版商ISSN
BInformation Systems3.4Elsevier0306-4379
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
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software4.1Elsevier0164-1212
BInformation Processing & Management6.9Elsevier0306-4573

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