会议信息

SOUPS 2026: International Symposium On Usable Privacy and Security

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截稿日期:
2026-02-12 已截稿
通知日期:
2026-05-19
会议日期:
2026-08-23
会议地点:
Hannover, Germany
届数:
22
CCF: C   ICORE: A   QUALIS: B1   浏览: 47719   关注: 50   参加: 2
嵌入截止倒计时徽章
SOUPS
用 API 获取这条数据
搜索与榜单列表完全无需凭证;本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

81.9 / 100
全站第 176 名 / 共 5,763 个会议 · 前 4%

安全与隐私 第 21 / 366

学术认可 (35%)
88
投稿选择性 (20%)
84
会议传承 (20%)
84
社区关注 (10%)
54
资料公开度 (15%)
80

用到的输入: 收录等级:CCF C, ICORE A, QUALIS B1 · 录用率:25.1%(有记录的 5 届的均值) · 有据可查的届次:22 · 在会伴关注它的研究者:50 人 · 过去 24 个月打开过本页的研究者:7 人

公开资料里还缺: 历届信息 (+3.0)
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 2026-10-29

征稿

SOUPS 2026 (International Symposium On Usable Privacy and Security) is a CCF C / ICORE A / QUALIS B1 conference held in Hannover, Germany on 2026-08-23. The paper submission deadline is 2026-02-12. Acceptance notifications are sent on 2026-05-19.

We invite authors to submit previously unpublished papers describing research or experience in all areas of usable privacy and security. We welcome a variety of research methods, including both qualitative and quantitative approaches. Papers will be judged on their scientific quality, overall quality, and contribution to the field. Topics include, but are not limited to: Innovative security or privacy functionality and design, Field studies of security or privacy technology, Usability evaluations of new or existing security or privacy features, Security testing of new or existing usability features, Longitudinal studies of deployed security or privacy features, Studies of administrators or developers and support for security and privacy, Organizational policy or procurement decisions and their impact on security and privacy, Lessons learned from the deployment and use of usable privacy and security features, Foundational principles of usable security or privacy, Ethical, psychological, sociological, or anthropological aspects of usable security and privacy, Usable security and privacy implications/solutions for specific domains (e.g., IoT, medical, at-risk populations) Replicating or extending important previously published studies and experiments, Systematization of knowledge papers that integrate and systematize existing knowledge to provide new insight into a previously studied area
由 Dou Sun 最后更新于

录用率

平均录用率: 27.5% 14 年间 (2005–2018).

年份提交数录用数录用率(%)
20181322821.2%
2017982626.5%
2016792227.8%
2015932223.7%
2014802126.3%
2013511529.4%
2012671420.9%
2011451533.3%
2010651624.6%
2009491530.6%
2008431330.2%
2007411229.3%
2006391435.9%
2005391025.6%

相关期刊

CCF全称影响因子出版商ISSN
IEEE Security & Privacy3.0IEEE1540-7993
Security and Privacy2.1Wiley2475-6725
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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