Big Data Security and Privacy
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 523
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the age of information abundance, the security and privacy of big data have emerged as critical concerns in the digital ecosystem. The proliferation of data-driven technologies and the interconnected nature of data systems have significantly amplified the vulnerabilities associated with data breaches and privacy violations. As organizations harness the power of big data for decision making and innovation, the imperative to safeguard sensitive information and protect individual privacy has never been more pressing. To delve into these multifaceted challenges, we are excited to announce the creation of a Special Issue on “Big Data Security and Privacy”. This Special Issue seeks to explore state-of-the-art techniques, methodologies, and best practices to fortify data security and privacy in the era of big data analytics.
Topics of interests include, but are not limited to:
- Secure data storage and transmission in big data environments;
- Privacy-preserving data analytics and machine learning;
- Threat intelligence and risk assessment in big data systems;
- Blockchain technology for enhancing data security in big data applications;
- Compliance with data protection regulations (e.g., GDPR, CCPA) in big data projects;
- Anonymization and de-identification methods for big data;
- Differential privacy and local differential privacy for sensitive data mining;
- Secure multi-party computation and federated learning for preserving data privacy;
- Ethical considerations and transparency in big data security practices.
Dr. Xuebin Ren
Guest Editor
Manuscript Submission Information
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Keywords
- big data security
- privacy protection
- secure data processing
- privacy-preserving data mining
- artificial intelligence security
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