Physically Unclonable Functions

Channel-PUFs: AI-Assisted Channel Estimation for Enhanced Wireless Network Security

Abstract: 

Next Generation Mobile Networks (NGMNs) are entering existing and future (industrial) wireless networks, associated with advantages such as higher data throughput, low latency, operation in almost real-time, and the microcell approach. However, this development also comes with drawbacks in the form of new attack vectors and security threats.

Published In

Volume 20, Issue 1

The PhySec Thing: About Trust and Security in Industrial IoT Systems

Abstract: 

The developments of the fourth industrial revolution with the fusion of technologies to Cyber-Physical Production System (CPPS), accompanied by the growing (wireless) interconnection of a multitude of different components (sensors, actuators, and machines, for example) opens up a multitude of risks, attack vectors and security threats. The Physical Layer Security (PhySec) approach proposed in this paper enables an efficient and resource-saving yet sound and secure safeguarding of industrial networks. The elaborated results of the Secret Key Generation (SKG) algorithms to establish Symmetric Key Cryptography (SKC) in wireless networks on the one hand and the SRAM-based Physically Unclonable Functions (PUFs) to derive hardware-intrinsic cryptographic credentials, on the other hand, demonstrate the appropriateness of the PhySec principle.

Published In

Volume 19, Issue 3

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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