Security Challenges and Opportunities of Artificial Intelligence/Big Data Scenarios

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 90

Special Issue Editors


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Guest Editor
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: artificial intelligence and big data security; satellite internet security; optical communication systems and optical network security
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical and Electrical Engineering, Hunan University, Changsha 410082, China
Interests: big data privacy protection; intelligent buildings; information-based building management systems; energy consumption prediction
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: big data privacy protection; multi-modality learning; interactive AI for vision

Special Issue Information

Dear Colleagues,

The convergence of Artificial Intelligence (AI) and Big Data has transformative implications across various sectors, offering unparalleled prospects for innovation and operational efficiency. AI systems, bolstered by the depth and breadth of Big Data, are poised to revolutionize decision making, predictive analytics, and personalized services. The fusion of AI and Big Data offers immense innovation, but it also poses acute security challenges. As AI systems leverage vast data for enhanced decision making, they expose vulnerabilities and sensitive data risks. The security environment is fraught with challenges, from the vulnerabilities embedded within AI algorithms to the management of vast troves of sensitive data. The risks posed by data breaches, algorithmic biases, and the misuse of AI for malicious intent are significant and demand immediate attention.

This Special Issue is particularly interested in technical, experimental, and methodological contributions that explore the interface between security and the advancement of AI and Big Data. We encourage the submission of papers that offer innovative approaches, strategies, and applications aimed at mitigating security risks and enhancing the trustworthiness of AI and Big Data systems. Special consideration will be given to research that advances our understanding of how to secure these technologies for the betterment of industrial processes, user safety, and overall system integrity.

Suggest themes.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Intrinsic AI security;
  • Big Data security;
  • Derived AI security;
  • Data breaches;
  • AI-enabled security;
  • Malicious use of AI;
  • Ethical AI;
  • Regulatory frameworks;
  • Predictive analytics;
  • Privacy protection;
  • Trustworthy biometrics;
  • Security in satellite network;
  • Cybersecurity;
  • Algorithmic bias;
  • AI data security;
  • AI model security

Dr. Xiaodan Yan
Prof. Dr. Ke Yan
Dr. Muyi Sun
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence
  • security and privacy protection
  • privacy protection
  • vulnerability
  • cybersecurity
  • secure communication

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Published Papers

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