Abstract
Anti-jamming in cognitive radio networks (CRN) is mainly accomplished using machine learning techniques in the domains of frequency, coding, power and rate. Jamming is a major threat to CRN because it can cause severe performance damage such as network isolation, network application interruption and even physical damage to infrastructure simple radio devices. With the improvement in communication technologies, the capabilities of adversaries are also increased. The intelligent jammer knows the rate at which users transmit data, which is based on the attractiveness factor of each user. The higher the data rate for a secondary user, the more attractive it is to the rate-aware jammer. In this paper, we present a dummy user in the network as a honeypot of the jammer to get the jammer’s attention. A new anti-jamming deceiving theoretical method based on rate modifications is introduced to increase the bandwidth efficiency of the entire cognitive radio-based communication system. We employ a defensive anti-jamming deception mechanism of the Pseudo Secondary User (PSU) to as an entice to trap the attacker by providing thus enhanced protection for the rest of the network from the impact of the attacker. Our analytical simulation results show a significant improvement in performance using the proposed solution. The utility of the proposed intelligent anti-jamming algorithm lies in its applications to support the secondary wireless sensor nodes.
Highlights
Cognitive Radio (CR) is a promising technology for dealing with the scarcity of the electromagnetic spectrum, a natural resource
We have presented a unique game-theoretic deception anti-jamming strategy to improve the overall bandwidth efficiency of a cognitive radio-based communication system
To deceive the attacker and protect the remainder of the network from hostile influences, we have used a defensive deception anti-jamming method based on rate adjustments
Summary
Cognitive Radio (CR) is a promising technology for dealing with the scarcity of the electromagnetic spectrum, a natural resource. CR is aware of the surrounding radio frequency (RF) environment It learns, reasons, decides and adapts to external conditions with the goal of efficiently using the spectrum and making reliable and uninterrupted wireless communication. Because of dynamic spectrum hopping, these techniques can not be directly applied in cognitive radio technology to combat adverse jammers preventing successful communication. The modulation schemes are flexible to changing states in the sense that the rate adaptation (RA) schemes of desirable interest usually adjust the physical layer transmission rate according to the channel conditions Such schemes can be made to optimally choose a high data rate by adopting more robust modulation and coding scheme (MCS) for good. Transmitting in a higher data rate modulation scheme will increase the potential for jamming, affecting adversely the performance of communication due to the presence of rate-aware jammers in the network. Zhu et al in [13] has presented state of the art survey on game’s theoretic defensive deception
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call