Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
Authors: Hoang, T.M., Liu, D., Luong, T.V., Zhang, J. and Hanzo, L.
Journal: IEEE Transactions on Cognitive Communications and Networking
Volume: 8
Issue: 2
Pages: 442-453
eISSN: 2332-7731
DOI: 10.1109/TCCN.2021.3138392
Abstract:This paper considers a communication system whose source can learn from channel-related data, thereby making a suitable choice of system parameters for security improvement. The security of the communication system is optimized using deep neural networks (DNNs). More explicitly, the associated security vs reliability trade-off problem is characterized in terms of the symbol error probabilities and the discrete-input continuous-output memoryless channel (DCMC) capacities. A pair of loss functions were defined by relying on the Lagrangian and on the monotonic-function based techniques. These were then used for managing the learning/training process of the DNNs for finding near-optimal solutions to the associated non-convex problem. The Lagrangian technique was shown to approach the performance of the exhaustive search. We concluded by characterizing the security vs reliability trade-off in terms of the intercept probability vs the outage probability.
https://eprints.bournemouth.ac.uk/36412/
Source: Scopus
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
Authors: Hoang, T.M., Liu, D., Luong, T.V., Zhang, J. and Hanzo, L.
Journal: IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
Volume: 8
Issue: 2
Pages: 442-453
ISSN: 2332-7731
DOI: 10.1109/TCCN.2021.3138392
https://eprints.bournemouth.ac.uk/36412/
Source: Web of Science (Lite)
Deep Learning Aided Physical-Layer Security: The Security versus Reliability Trade-off
Authors: Hoang, T.M., Liu, D., Luong, T.V., Zhang, J. and Hanzo, L.
Journal: IEEE Transactions on Cognitive Communications and Networking
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 2332-7731
https://eprints.bournemouth.ac.uk/36412/
Source: Manual
Deep Learning Aided Physical-Layer Security: The Security versus Reliability Trade-off
Authors: Hoang, T.M., Liu, D., Luong, T.V., Zhang, J. and Hanzo, L.
Journal: IEEE Transactions on Cognitive Communications and Networking
Volume: 8
Issue: 2
Pages: 442-453
ISSN: 2332-7731
Abstract:This paper considers a communication system whose source can learn from channel-related data, thereby making a suitable choice of system parameters for security improvement.
The security of the communication system is optimized using deep neural networks (DNNs). More explicitly, the associated security vs reliability trade-off problem is characterized in terms of the symbol error probabilities and the discrete-input continuous-output memoryless channel (DCMC) capacities. A pair of loss functions were defined by relying on the Lagrangian and on the monotonic-function based techniques. These were then used for managing the learning/training process of the DNNs for finding near-optimal solutions to the associated non-convex problem. The Lagrangian technique was shown to approach the performance of the exhaustive search. We concluded by characterizing the security vs reliability trade-off in terms of the intercept probability vs the outage probability.
https://eprints.bournemouth.ac.uk/36412/
Source: BURO EPrints