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PCDS 2024: IEEE International Conference on Privacy Computing and Data Security

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Submission Date:
2024-08-04 Extended
Notification Date:
2024-09-15
Conference Date:
2024-12-02
Location:
Fiji
Years:
10
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Call For Papers

PCDS 2024 (IEEE International Conference on Privacy Computing and Data Security) is an academic conference held in Fiji on 2024-12-02. The paper submission deadline is 2024-08-04 (extended). Acceptance notifications are sent on 2024-09-15.

PCDS 2024 is the 10th of a conference series started in 2015, which is dedicated to research on privacy computing and data security. The conference provides a forum for researchers, engineers and practitioners in academia, industry and the public sector around the world to report latest research work and exchange ideas in all aspects of privacy computing and data security, including those for improving the efficiency, performance, reliability, and interoperability of privacy computing and data security systems. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi’an, Shanghai, China (online, 2021); PriComp 2024 will be held in Momi Bay, Fiji. PriComp 2024 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2024 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. The IEEE PriComp-2024 focuses on privacy protection and privacy computing. Topics of interest include, but are not limited to the following: Theories and foundations for privacy computing Programming languages and compilers for privacy computing Privacy computing models Privacy metrics and formalization Privacy taxonomies and ontologies Privacy information management and engineering Privacy operation and modeling Data utility and privacy loss Cryptography for privacy protection Privacy protection based information hiding and sharing Data analytics oriented privacy control and protection Privacy-aware information collection Privacy sensing and distribution Combined and comprehensive privacy protection Privacy-preserving data publishing Private information storage Private integration and synergy Private information exchange and sharing Privacy inference and reasoning Internet and web privacy Cloud privacy Social media privacy Mobile privacy Location privacy IoT privacy Behavioral advertising Privacy in large ecosystems such as smart cities Privacy of AI models and systems AI for privacy computing Privacy and blockchain User-centric privacy protection solutions Human factors in privacy computing Privacy nudging Automated solutions for privacy policies and notices Legal issues in privacy computing and other interdisciplinary topics
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