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NDSS 2027: Annual Network & Distributed System Security Symposium

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NDSS
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投稿締切日:
2026-08-19
通知日:
2026-11-04
開催日:
2027-03-22
開催地:
Seoul, South Korea
開催回数:
34
CCF: A   ICORE: A*   QUALIS: A1   閲覧: 207342   フォロー: 238   参加: 14

会伴インデックス (CP-I)

89.4 / 100
全 5,684 件中 第 77 位 · 上位 2%

セキュリティ・プライバシー 分野 360 件中 第 8 位 システム・アーキテクチャ 分野 341 件中 第 19 位

学術的評価 (35%)
100
投稿の選択性 (20%)
83
開催回数 (20%)
96
コミュニティの注目度 (10%)
88
公開情報の充実度 (15%)
65

使用した入力: 収録ランク：CCF A, QUALIS A1 · 採択率：25.7%（記録のある 5 回の平均） · 確認できる開催回数：34 · 会伴でフォローしている研究者：238 人 · 過去 24 か月にこのページを開いた研究者：102 人

公開情報で不足しているもの: 過去の開催回 (+3.0) · 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 1.1 · 算出日 2026-09-23

論文募集

NDSS 2027 (Annual Network & Distributed System Security Symposium) is a CCF A / ICORE A* / QUALIS A1 conference held in Seoul, South Korea on 2027-03-22. The paper submission deadline is 2026-08-19. Acceptance notifications are sent on 2026-11-04.

Areas/Topics of Interest Submissions are solicited in, but not limited to, the following areas: Anti-malware techniques: detection, analysis, and prevention Cyber attack (e.g., APTs, botnets, DDoS) prevention, detection, investigation, and response Cyber-crime defense and forensics (e.g., anti-phishing, anti-blackmailing, anti-fraud techniques) Integrating security in network protocols (e.g., routing, naming, and management) Mobile and wireless network security Network security policy implementation, deployment, and management Privacy and anonymity in networks and distributed systems Public key infrastructures, key management, certification, and revocation Security and privacy for blockchains and cryptocurrencies Security and privacy of mobile/smartphone platforms Security and privacy of operating systems, hypervisors, and virtual machines Security and privacy of systems based on machine learning, federated learning, AI, and large language models Security for cloud/edge computing Security for cyber-physical systems (e.g., autonomous vehicles, industrial control systems) Security for emerging networks (e.g., smart homes, IoT, body-area networks, VANETs) Security for future Internet architectures and designs (e.g., Software-Defined Networking, Intent-Based Networking) Security for large-scale, critical infrastructures (e.g., electronic voting, smart grid) Security of web-based applications and services (e.g., social networking, crowd-sourcing, fake news/disinformation), web security and privacy Software/firmware/hardware security analysis, customization, and extensions Special problems and case studies: e.g., tradeoffs between security and efficiency, usability, cost, and ethics Trustworthy computing software and hardware to secure networks and systems Usable security and privacy Papers that focus on the systematization of knowledge (called SoK-papers at other venues) are within the scope of NDSS Symposium, particularly if they provide new insights and compelling evidence. Such papers do NOT need to be prefixed with “SoK:”, but the authors may choose to do so. Such papers go beyond summarizing previous research (like in surveys); they also include a thorough examination and analysis of existing approaches, identify gaps and limitations, offer insights or new perspectives on a given, major research area, and may also involve new experiments to replicate and compare previous solutions. Topic Fit NDSS Symposium is primarily a venue focusing on network and systems security. As such, the Program Committee will be looking for papers that have a clear relation to real systems, networks, and their applications. Papers that have questionable fit to NDSS Symposium will be pre-filtered by a select sub-committee on “Topic Concerns” and may be desk rejected without reviews. Examples of topic concerns include, but are not limited to: Papers with focus on theoretical cryptography but without implementation or evaluation on real systems Papers with focus on mathematical proof without implementation/evaluation Papers with contributions primarily in another field: AI, ML, etc. Papers without any security or privacy contribution; e.g. optimizing network performance
最終更新：Dou Sun（）

採択率

平均採択率: 20.2% 23 年間 (1998–2021).

年投稿数採択数採択率(%)
20215738715.2%
20205068817.4%
2019895258.4%
20183317121.5%
20174236816.1%
20163896015.4%
20153025116.9%
20142955518.6%
20132504718.8%
20122584617.8%
20111392820.1%
20101562415.4%
20091712011.7%
20081212016.5%
20071251814.4%
20061271713.4%
20051241612.9%
2004981616.3%
2003821720.7%
2002791620.3%
2001661624.2%
2000511529.4%
1998451533.3%

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