Trends in Computational Approaches for Database and Big Data Security
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 10 November 2025 | Viewed by 68
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue on “Trends in Computational Approaches for Database and Big Data Security” focuses on the development of advanced data management trends and techniques for database and big data security design, analysis, deployment, and regulation compliance. Database and big data security plays a critical role in our modern world, as effectiveness and efficiency are not enough in current society, given that security threats are omni-present. Thus, the development of this area can elevate data management disciplines to be more secure and trustworthy.
We welcome submissions in the following research areas:
- Authorization and authentication methods
- Novel authentication systems;
- Novel access control methods;
- Other related topics, e.g., blockchain-based systems or zero-trust issues;
- Security mechanism
- Intrusion detection and prevention for database systems;
- Cryptographic techniques for database security;
- Secure database architectures for on-premises, on-cloud, or hybrid systems;
- AI-driven anomaly detection for big data security;
- Privacy models and techniques
- Privacy preservation techniques, e.g., data anonymization or differential privacy-related techniques ;
- Corporate privacy preservation and data analytics;
- Other related topics;
- Security and privacy compliance
- Legal and regulatory frameworks (GDPR, CCPA, HIPAA, or other emerging frameworks);
- Compliance and governance in database systems;
- Auditing data analytics;
- Ethical issues in the big data era;
- Other applications or trends in database and big data security.
Dr. Juggapong Natwichai
Guest Editor
Manuscript Submission Information
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Keywords
- data privacy
- data security
- database systems
- big data
- compliance
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