Abstract
On-the-fly reconfigurability capabilities and learning prospectives of Cognitive Radios inherently bring a set of new security issues. One of them is intelligent radio frequency jamming, where adversary is able to deploy advanced jamming strategies to degrade performance of the communication system. In this paper, we observe the jamming/antijamming problem from a game-theoretical perspective. A game with incomplete information on opponent's payoff and strategy is modelled as a Markov Decision Process (MDP). A variant of fictitious play learning algorithm is deployed to find optimal strategies in terms of combination of channel hopping and power alteration anti-jamming schemes.
Original language | English |
---|---|
Title of host publication | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 8158-8162 |
Number of pages | 5 |
ISBN (Print) | 9781479928927 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014) - Florence, Italy Duration: 4 May 2014 → 9 May 2014 |
Conference
Conference | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014) |
---|---|
Abbreviated title | ICASSP 2014 |
Country/Territory | Italy |
City | Florence |
Period | 4/05/14 → 9/05/14 |
Keywords
- anti-jamming
- channel surfing
- cognitive radio
- fictitious play
- game theory
- jamming
- Markov models
- power alteration