会议信息

SACMAT 2027: ACM Symposium on Access Control Models and Technologies

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SACMAT
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截稿日期:
2027-02-12 还有 142 天
通知日期:
2027-03-29
会议日期:
2027-07-19
会议地点:
Durham, UK
届数:
CCF: C   ICORE: C   QUALIS: A1   浏览: 61779   关注: 69   参加: 10

会伴指数 (CP-I)

90.6 / 100
全站第 61 名 / 共 5,683 个会议 · 前 2%

安全与隐私 第 7 / 360

学术认可 (35%)
100
投稿选择性 (20%)
79
会议传承 (20%)
94
社区关注 (10%)
60
资料公开度 (15%)
100

用到的输入: 收录等级：CCF C, ICORE C, QUALIS A1 · 录用率：29.4%（有记录的 4 届的均值） · 有据可查的届次：32 · 在会伴关注它的研究者：69 人 · 过去 24 个月打开过本页的研究者：11 人

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 1.1 · 算于 2026-09-22

征稿

SACMAT 2027 (ACM Symposium on Access Control Models and Technologies) is a CCF C / ICORE C / QUALIS A1 conference held in Durham, UK on 2027-07-19. The paper submission deadline is 2027-02-12. Acceptance notifications are sent on 2027-03-29.

Topics of Interest The 32nd ACM Symposium on Access Control Models and Technologies (SACMAT) invites submissions presenting novel contributions in efficient and effective security mechanisms for distributed, networked computing environments. Topics of interest include, but are not limited to: Authorization Models and Policies Analysis of Policy and Policy Models Policy Enforcement Policy Model and Language Design Policy Maintenance, Migration, and Mining Policy Verification and Testing Mechanisms AI/ML Techniques Authentication Cryptographic Techniques Economic Models and Game Theory Hardware Security Techniques (e.g., Intel SGX) Programming Language-based Techniques Zero Trust Architecture Data Big Data Confidential Computing Data Leakage Prevention Data Privacy Data Protection Usage Control Systems AI-driven Systems (e.g., AI chatbots) Autonomous Systems Cloud, Edge, and Fog Computing Cyber Physical Systems Collaborative Systems Distributed Systems Embedded Systems IoT Systems (e.g., Home Automation, Autonomous Vehicles) Networks (including Wireless and Satellite) Operating Systems Physical Access Control Web Systems Usability and Measurement Usable Access Control Systems User Studies for Access Control Measurement Studies of Access Control Usefulness, Failures, Effectiveness, or Impact
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录用率

平均录用率: 29.3% 4 年间 (2002–2005).

年份提交数录用数录用率(%)
2005901921.1%
2004651827.7%
2003632336.5%
2002531732.1%

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CCF全称影响因子出版商ISSN
IEEE Access3.6IEEE2169-3536
Universal Access in the Information Society2.7Springer1615-5289
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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