Big Data Security and Privacy: Opportunities, Challenges and Solutions

Dear Colleagues,

The amount of big data is growing exponentially due to various technological advancements and applications, such as the Internet of Things (IoT), smart health and other smart technology systems, etc. According to an IDC report, the total volume of digital data will grow by 61% by 2025.

Due to the scale, complexity, and heterogeneity of big data and the environment in which they operate, it is impossible for commonly used technology to create, manage, and process such data in an efficient and timely manner. Similarly, the critical functions of ensuring security and privacy of such data also cannot be achieved using common techniques. Security requirements, such as access control, threat filtering, etc. take on a new dimension in the context of big data. Among other requirements, scalability and high performance are crucial for many big data security and privacy solutions.

This Special Issue aims to present cutting-edge research addressing opportunities, challenges, and solutions concerning all aspects of big data security and privacy. Original and unpublished high-quality research findings are solicited to explore topics including but not limited to:

• Big data system security;
• Cryptography in big data security and privacy;
• Big data forensics;
• Privacy preserving big data applications, systems, and services;
• Security and privacy of big databases;
• Threat and attack prediction using big data analytics;
• Management of big data security;
• Big data security models and architectures;
• Big data policy and standard;
• Human dimensions of big data security;
• Trust management in big data systems;
• Big data security and privacy issues in emergent technologies;
• Big data security and privacy challenges and solutions.

Dr. Maumita Bhattacharya
Guest Editor

Manuscript Submission Information

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