Security and Privacy Preservation in Big Data Age

Dear Colleagues,

Big data has an important and far-reaching impact on social development, scientific research, thinking modes, personal life and other areas. Naturally, individuals could enjoy increasing convenience due to big data. However, the era of big data also brings serious challenges for enterprises and individuals in cases where the security threats have not been properly treated. Thus, research on security and privacy protection issues in the big data age has attracted increasing interest from the academia and industry communities.

This Special Issue aims to address security and privacy protection issues in the big data age. The scope of this section includes, but is not limited to, these areas;

1. Artificial intelligence (AI) security algorithms: including cryptographic algorithms, information hiding and detection algorithms, digital watermark embedding and detection algorithms, image tampering authentication algorithms, privacy data mining and filtering algorithms, quantum cryptography algorithms, etc.

2. Crypto-security protocols: including authentication protocols, key exchange and management protocols, electronic payment protocols, security analysis theories and methods of security protocols, etc.

3. System security: including trusted computing, security architecture, distributed system security, database security, and information system security evaluation theories and methods.

4. Network security: including information confrontation, network attack and defense, security testing, intrusion detection, network survivability, vehicle networking security, security management, etc.

5. Cloud computing and Internet of Things security: cloud computing/Internet of Things security model, cloud computing/Internet of Things security needs and strategies, cloud computing/Internet of Things user privacy protection, cloud computing/Internet of Things infrastructure security protection.

6. Big data security: user privacy protection, privacy clustering algorithm, big data credibility, and big data access control in big data.

7. Security assessment: big data service security capability assessment, information system security assessment theory and method, privacy security assessment, etc.

• Information system security and management;
• Network security;
• Information security algorithms and protocols;
• User privacy protection in data;
• Privacy data mining;
• Network privacy management.

Prof. Dr. Hu Xiong
Dr. Yanan Chen
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.