Author:
Bindra Sandeep Singh,Aggarwal Alankrita
Abstract
<p>Network technology has significantly improved due to the growing use of Cyber-Physical Systems (CPS) in various industries, including healthcare, transportation, and communication. The efficiency of these domains has increased overall due to the transmission of sensor data to the cloud and its use by various apps. However, increased data transfer increases the risk of unauthorized modification and data breaches. The degree of risk varies per domain, and security is a crucial area of concentration to mitigate these concerns. Significant developments in network technology have resulted from the growing use of Cyber-Physical Systems (CPS) in various industries, including healthcare, transportation, and communication. The efficiency of these fields has increased overall due to sensor data being sent to the cloud and used by various applications. However, data breaches and unauthorized alteration are risks that come with increased data flow. Depending on the domain, the risk level varies, and security is a key concern in addressing these concerns.</p>
Publisher
Frontier Scientific Publishing Pte Ltd
Cited by
1 articles.
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1. Deep Learning-based Enhanced Security in Cyber- Physical Systems: A Multi-Attack Perspective;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23