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DSN 2027: International Conference on Dependable Systems and Networks

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投稿締切日:
2026-11-25 残り 32 日
通知日:
2027-03-18
開催日:
2027-06-22
開催地:
Berlin, Germany
開催回数:
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CCF: B   ICORE: A   QUALIS: A1   閲覧: 163617   フォロー: 203   参加: 20
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DSN
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会伴インデックス (CP-I)

93.4 / 100
全 5,759 件中 第 31 位 · 上位 1%

システム・アーキテクチャ 分野 341 件中 第 8 位

学術的評価 (35%)
100
投稿の選択性 (20%)
87
開催回数 (20%)
100
コミュニティの注目度 (10%)
82
公開情報の充実度 (15%)
85

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS A1 · 採択率：22.4%（記録のある 5 回の平均） · 確認できる開催回数：57 · 会伴でフォローしている研究者：203 人 · 過去 24 か月にこのページを開いた研究者：56 人

公開情報で不足しているもの: 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-24

論文募集

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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採択率

平均採択率: 24% 20 年間 (2001–2020).

年投稿数採択数採択率(%)
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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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BInformation Processing & Management6.9Elsevier0306-4573

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