Reactive jammer detection in OFDM with index modulation

Altun, Ufuk; Kaplan, Ahmet; Kurt, Güneş Karabulut; Altunbaş, İbrahim; Kucukyavuz, Defne; Kesal, Mustafa; Başar, Ertuğrul

doi:10.1016/j.phycom.2022.101909

Cited by 4 publications

(1 citation statement)

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“…A reactive jamming attack is a sophisticated cybersecurity threat that exploits vulnerabilities in wireless communication networks. Unlike Continuous Wave (CW) jamming, which involves continuous interference transmission across a range of frequencies, reactive jamming strategically disrupts communication only when it detects legitimate transmissions [25]. This approach makes the attack more challenging to detect and counteract.…”

Section: E Reactive Jamming Attackmentioning

confidence: 99%

BBAD: Blockchain-Backed Assault Detection for Cyber Physical Systems

Anwar,

Tariq,

Ashraf

et al. 2024

IEEE Access

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Cybersecurity challenges pose a significant threat to Healthcare Cyber Physical Systems (CPS) because they heavily rely on wireless communication. Particularly, jamming attacks can severely disrupt the integrity of these CPS networks. This research introduces a decentralized system to address this issue. Therefore, this paper suggested a system that leverages trust and blockchain technology to detect jamming attacks in healthcare CPS effectively. It proposes a layered model to improve CPS networks' lifetime and performance. In smart healthcare environments, it ensures secure and reliable communication between sensor nodes, wearable sensors, medical devices, and monitoring systems. Results show that the suggested approach outperforms the baseline model in identifying and minimizing jamming assaults, with an average percentage difference of 15.71% more detection rate, 20.21% less packet loss rates, 16.65% less node-level energy consumption, reduced network latency of 8.29%, and 9.63% more network throughput.

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Section: E Reactive Jamming Attackmentioning

confidence: 99%