会议信息

DIMVA 2026: International Conference on Detection of Intrusions and Malware & Vulnerability Assessment

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截稿日期:
2026-02-11 已截稿
通知日期:
2026-04-03
会议日期:
2026-07-01
会议地点:
Chania, Greece
届数:
23
CCF: C   ICORE: B   QUALIS: B1   浏览: 54814   关注: 60   参加: 1
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DIMVA
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会伴指数 (CP-I)

75.7 / 100
全站第 257 名 / 共 5,721 个会议 · 前 5%

安全与隐私 第 29 / 363

学术认可 (35%)
78
投稿选择性 (20%)
81
会议传承 (20%)
86
社区关注 (10%)
54
资料公开度 (15%)
65

用到的输入: 收录等级：CCF C, ICORE B, QUALIS B1 · 录用率：28.1%（有记录的 5 届的均值） · 有据可查的届次：23 · 在会伴关注它的研究者：60 人 · 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历届信息 (+3.0) · 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 2026-10-17

征稿

DIMVA 2026 (International Conference on Detection of Intrusions and Malware & Vulnerability Assessment) is a CCF C / ICORE B / QUALIS B1 conference held in Chania, Greece on 2026-07-01. The paper submission deadline is 2026-02-11. Acceptance notifications are sent on 2026-04-03.

General Information The annual DIMVA conference serves as a premier forum for advancing the state of the art in the broader areas of intrusion detection, malware analysis, and vulnerability assessment. Each year, DIMVA brings together international experts from academia, industry, and government to present and discuss novel research in these areas. DIMVA is organized by the special interest group Security – Intrusion Detection and Response (SIDAR) of the German Informatics Society (GI). The conference proceedings will appear in the Springer Lecture Notes in Computer Science (LNCS) series. Topics of Interest DIMVA solicits submissions of high-quality, original scientific papers presenting novel research on malware analysis, intrusion detection, vulnerability assessment, and related systems security topics. Topics of interest include, but are not limited to: Intrusions Novel approaches and domains Insider detection Prevention and response Data leakage, exfiltration, and poisoning Result correlation and cooperation Evasion and other attacks Potentials and limitation Operational experiences Privacy, legal, and social aspects Targeted attacks Analysis or detection of cryptocurrency heists Malware Automated analyses Behavioral models Prevention and containment Classification Lineage Forensics and recovery Underground economy Vulnerabilities in malware Financially targeted malware (e.g., ransomware, DeFi) Vulnerability detection Vulnerability prevention Vulnerability analysis Exploitation and defenses Hardware vulnerabilities Situational awareness Active probing Vulnerabilities in decentralized systems Papers will be judged on novelty, significance, correctness, and clarity. We expect all papers to provide enough details to enable reproducibility of the experimental results. We encourage papers that bridge research in different communities. We also welcome experience papers that clearly articulate lessons learnt.
由 Dou Sun 最后更新于

录用率

平均录用率: 28.7% 16 年间 (2004–2022).

年份提交数录用数录用率(%)
2022391128.2%
2020451328.9%
2019802328.8%
2016662131.8%
2015751722.7%
2014601423.3%
2013381231.6%
2012451431.1%
2011411331.7%
2010351234.3%
2009441329.5%
2008421433.3%
2007571424.6%
20061863317.7%
2005511427.5%
2004411434.1%

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