Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems

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.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-08-22
DOI
https://doi.org/10.32628/cseit25111686
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems

Bhavesh M. Patel, Falguni Suthar, Mayur Patel
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Chaos-based Image/Signal Encryption
article

Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems

Bhavesh M. Patel, Falguni Suthar, Mayur Patel
article en

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.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(4)
Ganpat University (IN)
Openalex Percentile: Top 79%
Chaos-based Image/Signal Encryption
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Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems — Bhavesh M. Patel, Falguni Suthar, et al. · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS