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Opportunities and Challenges in New Generation Cyber Security Applications Using Artificial Intelligence, Machine Learning and Block Chain

  • Sarthak Malik,
  • Praveen Kumar Malik,
  • Arshi Naim

摘要

This chapter explores the dynamic landscape of new-generation cyber security applications, delving into the integration of Artificial Intelligence (AI), Machine Learning (ML), and Block chain technologies. The opportunities presented by this amalgamation are significant, with AI and ML offering unparalleled capabilities in adaptive threat detection, predictive analysis, and automated response mechanisms. The decentralized and tamper-resistant nature of Block chain adds transparency and integrity to data security and transaction verification. However, these opportunities are accompanied by challenges, including the imperative for continuous innovation to combat evolving cyber threats, ethical considerations in technology utilization, and the need to strike a balance between security and privacy. This abstract underscores the transformative potential of AI, ML, and Block chain in reshaping cyber security paradigms, emphasizing the ongoing necessity for the cyber security community to address challenges and harness the synergies of these technologies responsibly and effectively.