Research on Privacy and Data Security
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 2408
Special Issue Editor
Interests: network and information security; information hiding; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The pervasive digitalization of modern society has initiated unprecedented challenges and opportunities in the realm of privacy and data security. This Special Issue aims to gather cutting-edge research contributions that advance our understanding and address the multifaceted issues surrounding privacy and data security in various domains. We invite original research papers, case studies, and review articles that shed light on emerging trends, innovative solutions, and best practices in safeguarding privacy and enhancing data security in the digital age.
Topics of interest include, but are not limited to, the following:
- Privacy-preserving techniques in data collection, storage, and processing;
- Data anonymization, encryption, and obfuscation methods;
- Privacy-enhancing technologies (PETs) and their applications;
- Threat modeling and risk assessment in data security;
- Privacy and security issues in IoT, cloud computing, and edge computing;
- Privacy policies, regulations, and compliance frameworks;
- User-centric approaches to privacy protection and data security;
- Ethical considerations in data handling and privacy preservation;
- Blockchain and distributed ledger technologies for privacy and security;
- Privacy and security implications of emerging technologies (e.g., AI and machine learning);
- Steganography and steganalysis;
- Digital watermarking and information hiding;
- Digital forensics.
Submission Guidelines:
- Manuscripts should be prepared according to the journal's formatting guidelines.
- All submissions will undergo a rigorous peer-review process.
- Manuscripts must be submitted electronically via the journal's online submission system.
- Authors should clearly indicate that the submission is for consideration in the Special Issue on "Research on Privacy and Data Security".
Note: Submissions that offer novel insights, empirical findings, and practical implications for advancing privacy and data security research will be given priority. We encourage submissions from both academia and industry professionals.
Prof. Dr. Hui Tian
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- privacy
- data Security
- data collection, storage, and processing
- privacy-enhancing technologies
- IoT
- AI
- machine Learning
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