Mirror, Mirror on the Wall

Staat, Paul; Elders–Boll, H.; Heinrichs, Markus; Zenger, Christian; Paar, Christof

doi:10.1145/3488932.3497767

Cited by 15 publications

(3 citation statements)

References 35 publications

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“…The authors in [168] investigated the environment reconfiguraton attack (ERA) which is a wireless jamming attack primitive. The system setup is composed of legitimate transmitter, receiver and an eavesdropper that employ OFDM modulation technique along with RIS.…”

Section: Volume 15mentioning

confidence: 99%

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Kaur,

Bansal,

Majhi

et al. 2024

IEEE Open J. Veh. Technol.

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Section: Volume 15mentioning

confidence: 99%

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Kaur,

Bansal,

Majhi

et al. 2024

IEEE Open J. Veh. Technol.

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“…However, previous works rarely considered that RIS could likewise be controlled by an attacker. In the context of disrupting wireless communications, Staat et al demonstrated how an RIS can disrupt Wi-Fi networks [21]. In the context of CRKG, we have partially investigated an example of the RIS jamming attack in our previous work [22].…”

Section: Related Workmentioning

confidence: 99%

Reconfigurable Intelligent Surface for Physical Layer Key Generation: Constructive or Destructive?

Staat

et al. 2022

IEEE Wireless Commun.

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Channel Reciprocity-based Key Generation (CRKG) exploits reciprocal channel randomness to establish shared secret keys between wireless terminals. This new security technique is expected to complement existing cryptographic techniques for secret key distribution of future wireless networks. In this paper, we present a new attack, reconfigurable intelligent surface (RIS) jamming, and show that an attacker can prevent legitimate users from agreeing on the same key by deploying a malicious RIS to break channel reciprocity. Specifically, we elaborate on three examples to implement the RIS jamming attack: Using active nonreciprocal circuits, performing time-varying controls, and reducing the signal-to-noise ratio. The attack effect is then studied by formulating the secret key rate with a relationship to the deployment of RIS. To resist such RIS jamming attacks, we propose a countermeasure that exploits wideband signals for multipath separation. The malicious RIS path is distinguished from all separated channel paths, and thus the countermeasure is referred to as contaminated path removal-based CRKG (CRP-CRKG). We present simulation results, showing that legitimate users under RIS jamming are still able to generate secret keys from the remaining paths. We also experimentally demonstrate the RIS jamming attack by using commodity Wi-Fi devices in conjunction with a fabricated RIS prototype. In our experiments, we were able to increase the average bit disagreement ratio (BDR) of raw secret keys by 20%. Further, we successfully demonstrate the proposed CRP-CRKG countermeasure to tackle RIS jamming in wideband systems as long as the source of randomness and the RIS propagation paths are separable.

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“…Network attacks can be classified as denial of service (DoS) attacks [3], deception attacks [4], and reconfiguration attacks [5]. As the most widespread type, DoS attacks can make the attacked hosts and servers deny normal access to users and eventually make the server resources exhausted by occupying a large number of band width resources.…”

Section: Introductionmentioning

confidence: 99%

Improved nonlinear model‐free adaptive iterative learning control in DoS attack environment

Li,

2024

IET Control Theory & Appl

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This paper investigates the design of a model‐free adaptive iterative learning controller(MFAILC) based on sampled‐data under the presence of denial‐of‐service(DoS) attacks in nonlinear networked control systems. First, the MFAILC is presented only using I/O data, where a compensation mechanism for DoS attacks is proposed. With dynamic linearization techniques, the nonlinear system is transformed into a linear system in the iteration domain. Then an improved MFAILC is designed to actively compensate the lost data caused by DoS attacks, where the estimation of pseudo‐partial derivative (PPD) is improved by establishing the AR model. The proposed algorithm can weaken the adverse effects of the DoS attacks and ensure the excellent tracking performance of the system. Finally, the stability of the method is proved, and the effectiveness of the proposed algorithm is demonstrated by a numerical example.

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Mirror, Mirror on the Wall

Cited by 15 publications

References 35 publications

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Reconfigurable Intelligent Surface for Physical Layer Key Generation: Constructive or Destructive?

Improved nonlinear model‐free adaptive iterative learning control in DoS attack environment

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