Eavesdropper Localization in Random Walk Channels

Guo, Weisi; Deng, Yansha; Li, Bin; Zhao, Chenglin; Nallanathan, Arumugam

doi:10.1109/lcomm.2016.2592898

Cited by 30 publications

(20 citation statements)

References 11 publications

(15 reference statements)

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“…In our opinion, the proposed method is simple and computationally less expensive but the overall security is compromised as MC needs more mathematically resilient models for security. Guo et al [180] have proposed a mathematical model for eavesdropper detection and localization in a random walk channel. This is the only work in MC that considers the detection of an absorbing malicious receiver in a random walk channel.…”

Section: ) Eavesdroppingmentioning

confidence: 99%

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A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

et al. 2021

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Advances in synthetic biology and nanotechnology resulted in tools that can be used to control, reuse, modify, and re-engineer cells' structure, as well as enabling engineers to effectively use biological cells as programmable substrates to realize Bio-NanoThings (biological embedded computing devices). Bio-NanoThings are tiny, non-intrusive, and concealable devices that can be used for in-vivo applications such as intra-body sensing and actuation networks, where the use of artificial devices can be detrimental. Bio-NanoThings are nano-scale devices used in various healthcare settings such as continuous health monitoring, targeted drug delivery, and nanosurgeries. These services can also be grouped to form a collaborative network called nanonetwork, whose performance can potentially be improved when connected to higher bandwidth external networks such as the Internet. However, to realize the IoBNT paradigm, it is also important to seamlessly connect the biological environment with the technological landscape, for example by having a dynamic interface designing to convert biochemical signals from the human body into an equivalent electromagnetic signal (and vice versa). However, this also risks the exposure of internal biological mechanisms to cyber-based sensing and medical actuation, with potential security and privacy implications. In this paper, we comprehensively review bio-cyber interface for IoBNT architecture, focusing on bio-cyber interfacing options for IoBNT like biologically inspired bio-electronic devices, RFID enabled implantable chips, and electronic tattoos. We also identify known and potential security and privacy vulnerabilities and mitigation strategies for consideration in future IoBNT designs and implementations.INDEX TERMS Bio-cyber interface, Internet of Bio-Nano Things, Bio-electronic device security, Bio-inspired security approaches I. INTRODUCTIONWith recent pandemics and the associated lockdown regime, there has been renewed, if not accelerated, interest, in exploring electronic and remote delivery of healthcare services. One of the recent trends is in the Internet of Bio-Nano Things (IoBNT) systems, which

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Section: ) Eavesdroppingmentioning

confidence: 99%

“…Eavesdropping Encryption using Diffie-Hellman algorithm. Eavesdropper localization in random walk channels [180] Molecular queries for patients physiological values to engage and deplete the resources, etc.…”

Section: Molecular Communicationmentioning

confidence: 99%

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

et al. 2021

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“…Conversely, in molecular communications, the data bearing molecules undergo diffusion via random walk propagation, which means that there is a finite probability to travel in an opposite direction without reflection. This property is exploited to detect the silent eavesdropper [13]. This yields an extra layer of security compared to traditional wireless communication.…”

Section: B Covert Messagingmentioning

confidence: 99%

Molecular Physical Layer for 6G in Wave-Denied Environments

et al. 2021

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“…Two kinds of attacks are discussed in [246], which are blackhole attack where malicious bionano things attract the other bionano things towards itself (by emitting chemoattractants) preventing them from their task of localization, and sentry attacks where malicious bionano things in the vicinity of the target cells emit chemo-repellents not letting the legitimate bionano things reach their target. Reference [247] and [248] consider the situations that eavesdropper appears and causes troubles; furthermore, the solutions are also discussed and evaluated. Additionally, in vesicle based molecular transport, vesicles act like keys in MC networks and thus inherently help the cause of secure communication.…”

Section: Security In Molecular Based Nanonetworkmentioning

confidence: 99%