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ISSN 2063-5346
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Cryptosystem using Artificial Neural Networks for UAV

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Nomaan Jaweed Mohammed, Mohamed Manzoor Ul Hassan
» doi: 10.48047/ecb/2023.12.si4.561

Abstract

The internet of medical things (IoMT) is an emerging technology that integrates medical devices with network connectivity to provide real-time healthcare monitoring and diagnosis. Unmanned Aerial Vehicles (UAVs) have also gained popularity as a mode of transportation for medical supplies and emergency medical services. However, the transmission and storage of sensitive medical data between IoMT devices and UAVs pose significant security challenges. Cryptography provides a solution to these challenges by ensuring secure communication and data confidentiality. Artificial neural networks (ANNs) can also be integrated with cryptosystems to provide enhanced security and efficient processing of medical data. This paper presents an abstract on the application of cryptosystems in artificial neural networks for secure communication in IoMT and UAVs. The paper highlights the advantages of using ANNs with cryptosystems, the challenges encountered, and possible solutions. The results demonstrate that the integration of cryptosystems with ANNs improves the security and performance of IoMT and UAV systems.

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