Back to Top
Go Back
Journal Photo for Journal of Privacy and Confidentiality
Peer reviewed only Open Access

Journal of Privacy and Confidentiality (JPC)

Publisher : Cornell University
Privacy and confidentiality Data protection and security Computer science and information technology
e-ISSN 2575-8527
Issue Frequency Monthly
Est. Year 2019
Mobile 1234567890
Language English
APC YES
Email managing-editor@journalprivacyconfidentiality.org

Journal Descriptions

The Journal of Privacy and Confidentiality (JPC) is an international peer reviewed open access journal dedicated to research and practice in privacy protection, confidentiality, data security, and related areas. The journal provides a platform for scholars, researchers, statisticians, computer scientists, legal experts, and policy professionals to publish original research addressing modern challenges in information privacy and responsible data use. It focuses on theoretical developments, practical applications, and emerging methods for protecting sensitive information while enabling data analysis and innovation. The journal covers topics including statistical disclosure limitation, privacy preserving data analysis, anonymization methods, differential privacy, secure computation, confidentiality policies, data governance, privacy risks, and ethical issues surrounding the use of personal information. JPC encourages interdisciplinary contributions connecting computer science, statistics, law, public policy, and social sciences. The journal supports open access publishing and aims to promote the global exchange of knowledge in privacy and confidentiality research. It serves as a valuable resource for academics, industry professionals, government organizations, and researchers working on trustworthy data management and privacy enhancing technologies.

Journal of Privacy and Confidentiality (JPC) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Privacy and confidentiality, Data protection and security, Computer science and information technology, Statistics and data science, Statistical disclosure control, Privacy preserving technologies, Data governance and ethics, privacy preserving data analysis, anonymization methods, differential privacy, secure computation, confidentiality policies, data governance, privacy risks, ethical issues surrounding the use of personal information , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2575-8527, Established: 2019,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE