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DPM 2021: International Workshop on Data Privacy Management

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DPM
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截稿日期:
2021-08-02 Extended
通知日期:
2021-08-30
会议日期:
2021-10-04
会议地点:
Darmstadt, Germany
浏览: 10603   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,137 名 / 共 5,682 个会议 · 前 73%

安全与隐私 第 260 / 360

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 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 25% —— 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 2026-09-19

征稿

DPM 2021 (International Workshop on Data Privacy Management) is an academic conference held in Darmstadt, Germany on 2021-10-04. The paper submission deadline is 2021-08-02 (extended). Acceptance notifications are sent on 2021-08-30.

Scope Organizations are increasingly concerned about the privacy of information that they manage (several people have filed lawsuits against organizations violating the privacy of customer's data). Thus, the management of privacy-sensitive information is very critical and important for every organization. This poses several challenging problems, such as how to translate the high-level business goals into system-level privacy policies, administration of privacy-sensitive data, privacy data integration and engineering, privacy access control mechanisms, information-oriented security, and query execution on privacy-sensitive data for partial answers. Topics The aim of this workshop is to discuss and exchange the ideas related to privacy data management. We invite papers from researchers and practitioners working in privacy, security, trustworthy data systems and related areas to submit their original papers in this workshop. The main topics, but not limited to, include: Privacy Information Management Privacy Policy-based Infrastructures and Architectures Privacy-oriented Access Control Languages and Models Privacy in Trust Management Privacy in Cryptocurrencies Privacy Data Integration Privacy Risk Assessment and Assurance Privacy Services Privacy Policy Analysis Data Protection Regulations in Practice Cryptographic Protocols for Privacy Query Execution over Privacy Sensitive Data Privacy Preserving Data Mining Privacy for Integrity-based Computing Privacy Monitoring and Auditing Privacy in Social Networks Privacy in Ambient Intelligence (AmI) Applications Individual Privacy vs. Corporate/National Security Privacy in computer networks Privacy and RFIDs Privacy and Big Data Privacy in sensor networks Privacy in the Internet of Things
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
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