Wireless Communications under Broadband Reactive Jamming Attacks

Fang, Song; Liu, Yao; Ning, Peng

doi:10.1109/tdsc.2015.2399304

Cited by 73 publications

(37 citation statements)

References 36 publications

(45 reference statements)

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“…Reactive jamming is a stealthy jamming approach in which the jammer first senses the spectrum and jams only when she detects an ongoing transmission. Due to the effectiveness and difficulty to be detected, reactive jammers are considered as the most harmful [16], [17]. Furthermore, as OFDM is used in many actual systems (and will be used at least in the first deployments of 5G), in our analysis we assume a BF-AWGN channel as in [11].…”

Section: Mim In W-skg Systems: Injection Attacksmentioning

confidence: 99%

Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation

Mitev

Chorti

Belmega

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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Wireless secret key generation (W-SKG) from shared randomness (e.g., from the wireless channel fading realizations), is a well established scheme that can be used for session key agreement. W-SKG approaches can be of particular interest in delay constrained wireless networks and notably in the context of ultra reliable low latency communications (URLLC) in beyond fifth generation (B5G) systems. However W-SKG schemes are known to be malleable over the so called "advantage distillation" phase, during which observations of the shared randomness are obtained at the legitimate parties. As an example, an active attacker can act as a man-in-themiddle (MiM) by injecting pilot signals and/or can mount denial of service attacks (DoS) in the form of jamming. This paper investigates the impact of injection and reactive jamming attacks in W-SKG. First, it is demonstrated that injection attacks can be reduced to -potentially less harmful -jamming attacks by pilot randomization; a novel system design with randomized QPSK pilots is presented. Subsequently, the optimal jamming strategy is identified in a block fading additive white Gaussian noise (BF-AWGN) channel in the presence of a reactive jammer, using a game theoretic formulation. It is shown that the impact of a reactive jammer is far more severe than that of a simple proactive jammer.Index Terms-Wireless secret key agreement, shared randomness, injection attack, man-in-the-middle, denial of service attack, jamming.

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Section: Mim In W-skg Systems: Injection Attacksmentioning

confidence: 99%

Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation

Mitev

Chorti

Belmega

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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“…There have been numerous analyses of proactive and reactive jamming attacks in wireless systems [27], the main difference between the two being whether the malicious node injects jamming signals constantly or during certain parts of the communication cycle. It has been found that standard methods for identifying and pro-tecting against reactive jamming attacks can fail because of the low energy required to launch the attack compared to proactive jamming.…”

Section: Jamming Attacksmentioning

confidence: 99%

A Study of Injection and Jamming Attacks in Wireless Secret Sharing Systems

Chorti

2017

Proceedings of the 2nd Workshop on Communication Security

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Secret key generation (SKG) schemes have been shown to be vulnerable to denial of service (DoS) attacks in the form of jamming and to man in the middle attacks implemented as injection attacks. In this paper, a comprehensive study on the impact of correlated and uncorrelated jamming and injection attacks in wireless SKG systems is presented. First, two optimal signalling schemes for the legitimate users are proposed and the impact of injection attacks as well as counter-measures are investigated. Finally, it is demonstrated that 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.

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“…Existing works The research work reported in this paper (corresponding author: Pinyi Ren) is supported by the National Natural Science Foundation of China (NSFC) under Grant No. 61431011. mainly focus on reactive jamming detection [7] and a few countermeasures have been proposed, such as utilization of timing channel [8], protocol design [9], and reactive jamming avoidance oriented schemes [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Securing Wireless Transmission against Reactive Jamming: A Stackelberg Game Framework

Tang

Ren

Wang

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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Reactive jamming, which performs jamming attacks on condition of detecting the legitimate transmissions, is widely considered as one of the most serious security challenges in wireless communications. In this paper, we tackle the reactive jamming issue from a novel yet realistic perspective -the jammer may not always be able to accurately detect the legitimate transmissions, which in turn, can be exploited by the legitimate user to enhance security. In accordance with the detection-then-jamming characteristic of reactive jamming, we formulate the transmitting-jamming problem within a Stackelberg game framework, where the legitimate user takes action first, followed by the reactive jammer. To optimize its own utility, the legitimate user needs to determine the transmission strategy by elaborately achieving the tradeoff between the signalto-interference-plus-noise ratio (SINR) and the probability to be accurately detected and thus jammed by its adversary. The investigation on Stackelberg equilibrium provides the solution to the game model. Furthermore, we consider the more practical situation that the legitimate user has only incomplete knowledge regarding its adversary and analyze the corresponding impact on the game and equilibrium. Simulation results demonstrate significant performance superiority in terms of secure legitimate transmissions compared with the classical approach.

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Wireless Communications under Broadband Reactive Jamming Attacks

Cited by 73 publications

References 36 publications

Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation

Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation

A Study of Injection and Jamming Attacks in Wireless Secret Sharing Systems

Securing Wireless Transmission against Reactive Jamming: A Stackelberg Game Framework

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