- Title
- Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone
- Creator
- Giti, Jishan; Sakzad, Amin; Srinivasan, Bala; Kamruzzaman, Joarder; Gaire, Raj
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/174474
- Identifier
- vital:14827
- Identifier
-
https://doi.org/10.1016/j.jnca.2020.102698
- Identifier
- ISBN:1084-8045 (ISSN)
- Abstract
- In this paper, we consider deceptive friendly jammers in a half-duplex random wireless network against a group of adaptive eavesdroppers. The destinations, eavesdroppers and friendly jammers are distributed according to homogeneous Poisson point process (HPPP). To the best of our knowledge, we are the first to study such a system model. As we may combine hostile jamming and passive eavesdropping, the secrecy of legitimate communication might be compromised. To combat this and improve secrecy of transmission, a group of friendly jammers thus transmit a source-like signal to deceive the eavesdroppers and try to force them to be passive listeners as much as possible. We derive the secrecy capacity for this scenario. The secrecy performance is evaluated for different parameters and with a secrecy protected zone surrounding the source. Performance evaluation through illustrative numerical results demonstrates that the friendly jammers can enhance the secrecy of a random wireless network. The advantages of friendly jammers are particularly prominent if the secrecy protected zone is very small and/or the node intensity of the destinations is low. The results show that the friendly jammers can restore the secrecy in a hostile environment if sufficient friendly jammers (e.g., 0.01 km−2 for the provided system model) are hired. © 2020; Funding details: Australian Research Council, ARC Funding text 1: Joarder Kamruzzaman received the BSc and MSc degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Dhaka, and the PhD degree in Information Systems Engineering from Muroran Institute of Technology, Hokkaido, Japan. He is currently a Professor in the School of Science, Engineering and Information Technology, Federation University Australia. Previously, he served as the Director of the Centre for Multimedia Computing, Communications and Artificial Intelligence Research hosted first by Monash University and later by Federation University. His research interests include distributed computing, Internet of Things, machine learning and cyber security. He has published 260+ peer-reviewed publications which include over 80 journal papers, 170 conferences, 11 book chapters and two edited reference books. He is the recipient of Best Paper award in four international conferences: ICICS′15, Singapore; APCC′14, Thailand; IEEE WCNC′10, Sydney, Australia and in the IEEE-ICNNSP′03, Nanjing, China. He has received nearly A$2.3m competitive research funding, including prestigious ARC (Australian Research Council) grant and large CRC (Collaborative Research Centre) grant. He was the founding Program co-Chair of the first International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys), China in 2015. He has served 32 conferences in leadership capacities including Program co-Chair, Publicity Chair, Track Chair and Session Chairs, and since 2012 as an Editor of the Elsevier Journal of Network and Computer Applications, and had served as the lead Guest of Elsevier Journal Future Generation Computer Systems.
- Publisher
- Academic Press
- Relation
- Journal of Network and Computer Applications Vol. 165, no. (2020), p.
- Rights
- Metadata is freely available under a CCO license
- Rights
- Copyright © 2020 Published by Elsevier Ltd. All rights reserved.
- Subject
- 0805 Distributed Computing; 1005 Communications Technologies; Adaptive eavesdropper; Friendly jammer; HPPP network; Secrecy capacity
- Reviewed
- Funder
- Funding details: Australian Research Council, ARC Funding text 1: Joarder Kamruzzaman received the BSc and MSc degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Dhaka, and the PhD degree in Information Systems Engineering from Muroran Institute of Technology, Hokkaido, Japan. He is currently a Professor in the School of Science, Engineering and Information Technology, Federation University Australia. Previously, he served as the Director of the Centre for Multimedia Computing, Communications and Artificial Intelligence Research hosted first by Monash University and later by Federation University. His research interests include distributed computing, Internet of Things, machine learning and cyber security. He has published 260+ peer-reviewed publications which include over 80 journal papers, 170 conferences, 11 book chapters and two edited reference books. He is the recipient of Best Paper award in four international conferences: ICICS′15, Singapore; APCC′14, Thailand; IEEE WCNC′10, Sydney, Australia and in the IEEE-ICNNSP′03, Nanjing, China. He has received nearly A$2.3m competitive research funding, including prestigious ARC (Australian Research Council) grant and large CRC (Collaborative Research Centre) grant. He was the founding Program co-Chair of the first International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys), China in 2015. He has served 32 conferences in leadership capacities including Program co-Chair, Publicity Chair, Track Chair and Session Chairs, and since 2012 as an Editor of the Elsevier Journal of Network and Computer Applications, and had served as the lead Guest of Elsevier Journal Future Generation Computer Systems.
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