会议信息

DSN 2027: International Conference on Dependable Systems and Networks

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截稿日期:
2026-11-25 还有 32 天
通知日期:
2027-03-18
会议日期:
2027-06-22
会议地点:
Berlin, Germany
届数:
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CCF: B   ICORE: A   QUALIS: A1   浏览: 163618   关注: 203   参加: 20
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DSN
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会伴指数 (CP-I)

93.4 / 100
全站第 31 名 / 共 5,759 个会议 · 前 1%

系统与体系结构 第 8 / 341

学术认可 (35%)
100
投稿选择性 (20%)
87
会议传承 (20%)
100
社区关注 (10%)
82
资料公开度 (15%)
85

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 录用率：22.4%（有记录的 5 届的均值） · 有据可查的届次：57 · 在会伴关注它的研究者：203 人 · 过去 24 个月打开过本页的研究者：56 人

公开资料里还缺: 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-24

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

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BJournal of Systems and Software3.8Elsevier0164-1212
AInformation and Computation1.4Elsevier0890-5401
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
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