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Advanced Cryptographic Techniques for Securing AI-Driven IoT Systems

Year: 2025

Type: article

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.

Source: International Journal of Scientific Research in Computer Science Engineering and Information Technology

DOI: 10.32628/cseit25111686

Authors: Dr. Falguni Suthar, Ms. Hiralben Patel, Dr. Bhavesh Patel

Institution: Ganpat University

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4413736086

FWCI:

Cites: 11

Cited by:

Related to: 10