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Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems

Author

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  • Falguni Suthar
  • Hiralben Patel
  • Bhavesh Patel

Abstract

The convergence of Artificial Intelligence (AI) and Internet of Things (IOT) has inspired the emergence of artificial intelligence (AIOT) of things, a paradigm that integrates intelligent algorithms with interconnected equipment. While AIOT provides significant progress in automation and data processing, it introduces adequate safety challenges due to the transmission and processing of vast amounts of sensitive data. This research paper examines various cryptographic techniques that can be employed to increase security in the AIOT system. We analyze the weaknesses contained in AIOT architecture, discuss the role of cryptography in reducing these risks, and propose a framework to apply a strong cryptographic solution to the AIOT environment.

Suggested Citation

  • Falguni Suthar & Hiralben Patel & Bhavesh Patel, 2025. "Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(4), pages 392-406, August.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i4:id:1660
    DOI: 10.32628/CSEIT25111686
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111686
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