Chorti, A (2017) Optimal signalling strategies and power allocation for secret key generation schemes in the presence of a jammer. In: IEEE International Conference on Communications ICC 2017, 2017-05-21 - 2017-05-25, Paris.
Chorti, A (2017) Optimal signalling strategies and power allocation for secret key generation schemes in the presence of a jammer. In: IEEE International Conference on Communications ICC 2017, 2017-05-21 - 2017-05-25, Paris.
Chorti, A (2017) Optimal signalling strategies and power allocation for secret key generation schemes in the presence of a jammer. In: IEEE International Conference on Communications ICC 2017, 2017-05-21 - 2017-05-25, Paris.
Abstract
Secret key generation (SKG) schemes have been shown to be vulnerable to denial of service (DoS) attacks in the form of jamming. In this paper, a comprehensive study on the impact of correlated and uncorrelated jamming in wireless SKG systems is presented. First, optimal signalling schemes for the legitimate users and jamming approaches for an active adversary launching a DoS attack on the SKG system are derived. It is shown that the legitimate users should employ constant signalling. On the other hand, the jammer should inject either correlated jamming when imperfect channel state information (CSI) regarding the main channel is at their disposal, or, uncorrelated jamming when the main channel CSI is completely unknown. In both cases, optimal power allocation policies are studied under short-term power constrains for M block fading additive white Gaussian noise (BF-AWGN) channels. Numerical evaluations demonstrate that equidistribution of the jamming power is near-optimal in the case of uncorrelated jamming.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Published proceedings: _not provided_ |
Uncontrolled Keywords: | Jamming; communication system security; physical layer security |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 12 May 2017 13:02 |
Last Modified: | 30 Oct 2024 16:44 |
URI: | http://repository.essex.ac.uk/id/eprint/19559 |
Available files
Filename: 1570323755 (1).pdf