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1. Wearable Microphone Jamming

   https://doi.org/10.1145/3313831.3376304  

   Chen, Yuxin; Li, Huiying; Teng, Shan-Yuan; Nagels, Steven; Li, Zhijing; Lopes, Pedro; Zhao, Ben Y.; Zheng, Haitao (April 2020, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems)

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2. IRS-Enhanced Anti-Jamming Precoding Against DISCO Physical Layer Jamming Attacks

   https://doi.org/10.1109/ICC51166.2024.10622846  

   Huang, Huan; Zhang, Hongliang; Cai, Yi; Zhang, Yunjing; Swindlehurst, A Lee; Han, Zhu (June 2024, IEEE)

   Illegitimate intelligent reflective surfaces (IRSs) can pose significant physical layer security risks on multi-user multiple-input single-output (MU-MISO) systems. Recently, a DISCO approach has been proposed an illegitimate IRS with random and time-varying reflection coefficients, referred to as a “disco” IRS (DIRS). Such DIRS can attack MU-MISO systems without relying on either jamming power or channel state information (CSI), and classical anti-jamming techniques are in-effective for the DIRS-based fully-passive jammers (DIRS-based FPJs). In this paper, we propose an IRS-enhanced anti-jamming precoder against DIRS-based FPJs that requires only statistical rather than instantaneous CSI of the DIRS-jammed channels. Specifically, a legitimate IRS is introduced to reduce the strength of the DIRS-based jamming relative to the transmit signals at a legitimate user (LU). In addition, the active beamforming at the legitimate access point (AP) is designed to maximize the signal-to-jamming-plus-noise ratios (SJNRs). Numerical results are presented to evaluate the effectiveness of the proposed IRS-enhanced anti-jamming precoder against DIRS-based FPJs. 

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3. Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

   https://doi.org/10.1109/COMST.2022.3159185  

   Pirayesh, Hossein; Zeng, Huacheng (March 2022, IEEE Communications Surveys & Tutorials)
4. Dilatancy, shear jamming, and a generalized jamming phase diagram of frictionless sphere packings

   https://doi.org/10.1039/D0SM02186E  

   Babu, Varghese; Pan, Deng; Jin, Yuliang; Chakraborty, Bulbul; Sastry, Srikanth (March 2021, Soft Matter)

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   Granular packings display the remarkable phenomenon of dilatancy, wherein their volume increases upon shear deformation. Conventional wisdom and previous results suggest that dilatancy, also being the related phenomenon of shear-induced jamming, requires frictional interactions. Here, we show that the occurrence of isotropic jamming densities ϕ j above the minimal density (or the J-point density) ϕ J leads both to the emergence of shear-induced jamming and dilatancy in frictionless packings. Under constant pressure shear, the system evolves into a steady-state at sufficiently large strains, whose density only depends on the pressure and is insensitive to the initial jamming density ϕ j . In the limit of vanishing pressure, the steady-state exhibits critical behavior at ϕ J . While packings with different ϕ j values display equivalent scaling properties under compression, they exhibit striking differences in rheological behaviour under shear. The yield stress under constant volume shear increases discontinuously with density when ϕ j > ϕ J , contrary to the continuous behaviour in generic packings that jam at ϕ J . Our results thus lead to a more coherent, generalised picture of jamming in frictionless packings, which also have important implications on how dilatancy is understood in the context of frictional granular matter. 

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5. Anti-Jamming Precoding Against Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks

   https://doi.org/10.1109/TWC.2024.3360728  

   Huang, Huan; Dai, Lipeng; Zhang, Hongliang; Tian, Zhongxing; Cai, Yi; Zhang, Chongfu; Swindlehurst, A Lee; Han, Zhu (August 2024, IEEE Transactions on Wireless Communications)

   Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, but also pose a huge risk for physical layer security. Existing works have illustrated that a disco IRS (DIRS), i.e., an illegitimate IRS with random time-varying reflection properties (like a “disco ball”), can be employed by an attacker to actively age the channels of legitimate users (LUs). Such active channel aging (ACA) generated by the DIRS can be employed to jam multi-user multiple-input single-output (MU-MISO) systems without relying on either jamming power or LU channel state information (CSI). To address the significant threats posed by DIRS-based fully-passive jammers (FPJs), an anti-jamming precoder is proposed that requires only the statistical characteristics of the DIRS-based ACA channels instead of their CSI. The statistical characteristics of DIRS-jammed channels are first derived, and then the anti-jamming precoder is derived based on the statistical characteristics. Furthermore, we prove that the anti-jamming precoder can achieve the maximum signal-to-jamming-plus-noise ratio (SJNR). To acquire the ACA statistics without changing the system architecture or cooperating with the illegitimate DIRS, we design a data frame structure that the legitimate access point (AP) can use to estimate the statistical characteristics. During the designed data frame, the LUs only need to feed back their received power to the legitimate AP when they detect jamming attacks. Numerical results are also presented to evaluate the effectiveness of the proposed anti-jamming precoder against the DIRS-based FPJs and the feasibility of the designed data frame used by the legitimate AP to estimate the statistical characteristics. 

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