2024
DOI: 10.1109/tnb.2023.3285973
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Review of Physical Layer Security in Molecular Internet of Nano-Things

Abstract: Molecular networking has been identified as a key enabling technology for Internet-of-Nano-Things (IoNT): microscopic devices that can monitor, process information, and take action in a wide range of medical applications. As the research matures into prototypes, the cybersecurity challenges of molecular networking are now being researched on at both the cryptographic and physical layer level. Due to the limited computation capabilities of IoNT devices, physical layer security (PLS) is of particular interest. A… Show more

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Cited by 2 publications
(2 citation statements)
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“…Additionally, studies have focused on addressing security concerns in these areas, including privacy-preserving data sharing, explainable AI, and motion tracking. Collectively, these research efforts contribute to a comprehensive understanding of IoT technologies and their applications in diverse fields [43][44][45][46][47][48][49][50][51].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, studies have focused on addressing security concerns in these areas, including privacy-preserving data sharing, explainable AI, and motion tracking. Collectively, these research efforts contribute to a comprehensive understanding of IoT technologies and their applications in diverse fields [43][44][45][46][47][48][49][50][51].…”
Section: Introductionmentioning
confidence: 99%
“…Beyond prototypes, there is also the need to create experimental testbeds to test nanonetwork solutions in repeatable, controlled scenarios. Unfortunately, most of the existing experimental testbeds only focus on non-electromagnetic nanonetworks (e.g., molecular communication [191]- [203], ultrasonic communication [204]- [207] and, recently, galvanic coupling [208]). It is relevant to note that many of these testbeds are in fact not employing nanomachines, but utilizing macroscale devices to test the physics of, for example, nanoscale applications.…”
Section: B Prototyping and Testbed Developmentmentioning
confidence: 99%