Enhancing AI Security: A Review of Blockchain-Integrated Solutions
Cai Wei · 2024
Artificial Intelligence (AI) technology is advancing rapidly, driving innovation across various industries while also presenting significant security challenges. These challenges include protecting model ownership, ensuring data privacy, and defending against malicious attacks. Blockchain technology, recognized for its decentralized, transparent, and tamper-proof nature, offers a promising solution to address these issues. This review article explores three key research questions: How can blockchain technology protect AI model ownership? In what ways does blockchain safeguard data privacy within AI systems? What other security-related concerns arise with blockchain-driven AI? Through exploring these questions, the article addresses discussions on ownership, data privacy, attacks, scalability, quantum threats, and ethical security challenges, Through a comprehensive analysis of the existing literature, this article identifies the benefits and limitations of combining blockchain with AI, highlights technical and practical challenges, and proposes directions for future research to enhance the security, effectiveness, and ethical governance of blockchain-integrated AI systems.