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Improving Cybersecurity and Risk Management Techniques in AI Blockchain Governance Systems
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Author(s): Puneet Chauhan (Swami Vivekanand Subharti University, India), Krishan Pal (Swami Vivekanand Subharti University, India), Almash Saifi (Swami Vivekanand Subharti University, India), Vikas Sharma (SRM Institute of Science and Technology, Delhi, India), Tarun Kumar Vashishth (IIMT University, Meerut, India)and Kajal Choudhary (IIMT University, Meerut, India)
Copyright: 2026
Pages: 32
Source title:
Transforming Public Administration Through AI-Driven Predictive Analytics
Source Author(s)/Editor(s): Pradeep Kumar (Infrastructure University Kuala Lumpur, Malaysia), Abu Bakar Abdul Hamid (Infrastructure University Kuala Lumpur, Malaysia), Parma Nand (Sharda University, India)and Rajeev Kumar (Moradabad Institute of Technology, India)
DOI: 10.4018/979-8-3373-3760-9.ch006
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Abstract
The combination of AI with Blockchain or AI-Blockchain integration disrupts existing governance structures. Cybersecurity however becomes an important area of concern in system fortitude, data trust, and public confidence. The focus of this chapter is the AI-Blockchain governance system's cybersecurity vulnerabilities such as smart contracts' flaws, AI model attacks, and other blockchain specific weaknesses like 51% and Sybil attacks. Addressing these concerns, some of the focus areas include Protecting AI model training, issuing decentralized identities, end-to-end encryption, and blockchain auditors to enhance security. More importantly, fostering proactive threat intelligence, robust governance policies and frameworks, and resilient design architectures for active defences against sophisticated cyber threats is paramount.
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