Radio Jammer Research Articles

The Radio Jammer Against Remote Controlled Improvised Explosive Devices

This paper deals with the radio jammer for protection of VIP person, manpower and material resources against remotely controlled improvised explosive devices. The jammer is completely the result of domestic development in the Institute IRITEL.

Trajectory and image-based detection and identification of UAV

Much more attentions have been attracted to the inspection and prevention of unmanned aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many factors like the interferences and the small fuselage of UAV pose challenges to the timely detection of the UAV. In our work, we present a system that is capable of detecting, recognizing, and tracking an UAV using single camera automatically. For our method, a single pan–tilt–zoom (PTZ) camera detects flying objects and gets their trajectories; then, the trajectory identified as a UAV guides the camera and PTZ to capture the detailed region image of the target. Therefore, the images can be classified into the UAV and interference classes (such as birds) by the convolution neural network classifier trained with our image dataset. For the target recognized as a UAV with the double verification, the radio jammer emits the interferential radio to disturb its control radio and GPS. This system could be applied in some complex environment where many birds and UAV appear simultaneously.

Stackelberg Equilibria of an Anti-Jamming Game in Cooperative Cognitive Radio Networks

The deceiving attacker is a radio jammer, equipped with a cognitive radio (CR) platform, which senses the frequency spectrum and launches jamming actions to block, mask, or emulate the legitimate active wireless connections. Using the IEEE 802.22 CR network (CRN) as a basis, this paper proposes a set of deception-based defense strategies to protect the CRNs from the deceiving attack. The Stackelberg framework is adopted in the formulation of the security problem to account for the attacker’s reconnaissance capabilities. To this end, the Stackelberg equilibria between the attacker(s) and the defending CRs are calculated under the two cases when the attacker(s) and the defending CRs know and are uncertain about the primary user activity. The backward induction method is used to calculate the points of SE in the formulated security game. Both theoretical analysis and numerical results show that the defending CRs can decrease the probability of success of the deceiving attack to nearly 0% when the CRs have the incentive to defend the frequency channel(s).

Efficient Detection and Prevention of Jamming Attack in MANET

Jamming attack is main problem and this can affect the network by various ways. Sometimes jammer retransmits messages to create jam over network or sometimes jammers are radio jammer which disturbs communication by decreasing the signal to noise ratio. In previous researches various techniques are discussed to detect jamming. One way is to check the signal busy ratio. If channel is busy for long time that means there is a jam on network or it can be check by checking the threshold value. If threshold value exceeds up to some limit then there expect some jam on network. When the jam will detected then check will be performed on the node which will be creating jam. Node identity will be checked by calculating the distance and the message of that node will be checked to detect the retransmission and replays. If sequence number will same than attacker will be detected but if sequence number is different message content will be checked. To check the reason of retransmissions an additional message will be send to destination so that if re-transmissions are due to the network failure it can be detected.

Jammer Location-Oriented Noise Node Elimination Method for MHWN

It is crucial to find the location of the radio jammer for implementing anti-jamming methods and thus resuming the communication and management of MHWN. Nevertheless, due to the influence of environmental factors and the mutual interference of normal nodes, several unaffected nodes are unable to accurately identify whether they are affected by jammer and thus become noise nodes in the jammer location-oriented process, thereby influencing the precision of jamming localization algorithm and causing remarkable error. In this paper, an algorithm is put forward to eliminate noise nodes based on the Mean of Squared Distance among the nodes. Through calculating the Mean of Squared Distance of each node, the authors can find out the noise nodes and remove them. Simulation results in different jamming localization algorithms verify the correctness and effectiveness of the proposed algorithm. Analysis results reveal that the performance of the proposed algorithm is more prominent when the incidence of noise node is small.

On Optimal Antijamming Strategies in Sensor Networks

Physical layer radio jamming is a serious security threat to a wireless sensor network since the network relies on open wireless radio channels. A radio jammer is typically strategic and chooses its jamming strategy in response to the possible defense strategy taken by the sensor network. In this paper we model the interaction between the sensor network and the attacker as a noncooperative nonzero-sum static game. In such a game, the sensor network has a set of strategies of controlling its probability of wireless channel access and the attacker manipulates its jamming by controlling its jamming probability after sensing a transmission activity. We propose an algorithm for computing the optimal strategies for jamming attack and network defense. A critical issue is that there may exist a number of possible strategy profiles of Nash equilibria. To address this issue, we further propose to choose realistic Nash equilibria by applying the Pareto dominance and risk dominance. Our numerical results demonstrate that the strategies chosen by the Pareto dominance and risk dominance achieve the expected performance. Our results presented in the paper provide valuable defense guidance for wireless sensor networks against jamming attacks.

A decision support system for locating VHF/UHF radio jammer systems on the terrain

In this study, a mathematical model is suggested concerning the location of VHF/UHF frequency radio jammer systems to the terrain parts to conduct single frequency or sequential frequency jamming, and then a decision support system (DSS), based on the suggested model, is formed. Location problem is modelled by the maximum covering location problem and LINGO-8 package program is used to solve the model. Interaction with the user is provided via the MS-Excel program in the DSS. In the application part of the study, a scenario was set up and the model was run for the two cases, weighted and equally weighted situations of the targets. With the same scenario, backup positions for the jammer systems were tried to be determined and solutions for the scenario were evaluated.