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| Title | Cryptographically Enhanced Security For Aiot Devices In 5G Networks |
|---|---|
| ID_Doc | 16776 |
| Authors | Pradeep S.; Karthikeyan A.; Kiruthika R.; Amala Nirmal Doss S.A. |
| Year | 2025 |
| Published | AIoT: Artificial Intelligence of Things |
| DOI | http://dx.doi.org/10.1201/9781003482338_16 |
| Abstract | The proliferation of Artificial Intelligence of Things (AIoT) devices within the framework of 5G networks has significantly expanded the capabilities and applications of interconnected devices. However, this surge in connectivity also exposes these devices to a myriad of security threats, ranging from unauthorized access to data breaches. This work introduces a comprehensive overview to bolster the security of AIoT devices in 5G networks through the integration of advanced cryptographic techniques. Our methodology involves the implementation of robust cryptographic protocols to fortify the communication channels between AIoT devices, edge computing nodes, and the 5G network infrastructure. By leveraging state-of-the-art cryptographic algorithms, including homomorphic encryption, our approach aims to mitigate vulnerabilities associated with data transmission, storage, and processing in AIoT ecosystems. Furthermore, this research identifies the intricacies posed by the resource-constrained nature of AIoT devices and proposes lightweight cryptographic solutions tailored to meet the unique requirements of these devices without compromising on security. Our findings highlight the significant improvement in the overall security posture of AIoT devices in 5G networks, bringing new paths for the widespread acceptance of these technologies in diverse sectors, including healthcare, smart cities, and industrial automation. This research offers a pioneering contribution to the field of AIoT security in 5G networks by introducing a cryptographically enhanced framework that addresses the evolving security challenges posed by the increasing interconnectivity of devices. The proposed approach establishes a foundation for the development of secure and reliable AIoT ecosystems, fostering trust among users in the quickly developing era of the Internet of Things. © 2025 selection and editorial matter, Arun Sekar Rajasekaran, Fadi Al-Turjman, and Suganyadevi S; individual chapters, the contributors. |
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