CODASPY 2023 论文征稿
2022-8-28 18:24:30 Author: mp.weixin.qq.com(查看原文) 阅读量:15 收藏

Data and applications security and privacy has rapidly expanded as a research field with many important challenges to be addressed. The goal of the ACM Conference on Data and Applications Security (CODASPY) is to discuss novel, exciting research topics in data and application security and privacy, and to lay out directions for further research and development in this area.  The conference will be held in April 24-26, 2023. Charlotte, NC, United States.

The conference seeks submissions from diverse communities, including corporate and academic researchers, open-source projects, standardization bodies, governments, system and security administrators, software engineers and application domain experts. Topics of interest include, but are not limited to:

  • Application-layer security policies
  • Access control for applications
  • Access control for databases
  • Data-dissemination controls
  • Data forensics
  • Data leak detection and prevention
  • Enforcement-layer security policies
  • Privacy-preserving techniques
  • Private information retrieval
  • Search on protected/encrypted data
  • Secure auditing
  • Secure collaboration
  • Secure data provenance
  • Secure electronic commerce
  • Secure information sharing
  • Secure knowledge management
  • Secure multiparty computation
  • Secure software development
  • Securing data/apps on untrusted platforms
  • Securing the semantic web
  • Security and privacy in GIS/spatial data
  • Security and privacy in healthcare
  • Security and privacy in the Internet of Things
  • Security policies for databases
  • Social computing security and privacy
  • Social networking security and privacy
  • Trust metrics for applications, data, and users
  • Usable security and privacy
  • Web application security

CODASPY 2023 will also feature a dataset and tool paper track, which will provide a unique venue for researchers and practitioners to make available and citable their work done to achieve datasets or tools relevant in security and privacy domain. Papers accepted in this track have to describe the available datasets or reporting on the design and implementation of application security and privacy tools. Dataset/tool papers are limited to 6 pages.

Instructions for Research Paper Authors

Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed.

Submissions must be at most 12 pages in double-column ACM format (as specified at ACM Proceedings Template). Submissions must be anonymized and avoid obvious self-references. Only PDF files will be accepted. Submissions not meeting these guidelines will be rejected without review.

Submissions should be made electronically at: EasyChair CODASPY 2023.

Instructions for Dataset/Tool Paper Authors

Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed.

Submissions must be at most 6 pages in double-column ACM format (as specified at ACM Proceedings Template). Submissions must be anonymized and avoid obvious self-references. Only PDF files will be accepted. Submissions not meeting these guidelines will be rejected without review.

Submissions should be made electronically at: EasyChair CODASPY 2023.

Important Dates

  • Abstract submission deadline: October 3, 2022, 23:59 
  • Research paper submission deadline: October 10, 2022, 23:59
  • Dataset/tool paper submission deadline: October 10, 2022, 23:59
  • Rebuttal phase: December 5-8, 2022
  • Notification to (conference) authors: December 17, 2022

Organization

Program Co-Chairs

  • Maribel Fernández, King's College London, UK
  • Ninghui Li, Purdue University, USA

http://www.codaspy.org/2023/cfp.html

安全学术圈招募队友-ing, 有兴趣加入学术圈的请联系secdr#qq.com

文章来源: https://mp.weixin.qq.com/s?__biz=MzU5MTM5MTQ2MA==&mid=2247488155&idx=1&sn=43568f18926bb9b7c8f72d54bc99902d&chksm=fe2eed10c95964069b53522a94a0e978f86f62fcae48910814efefc90e5ce111b791bee50c21#rd
如有侵权请联系:admin#unsafe.sh