Comparative Analysis of Security Techniques in Internet of Things

Kumar, Sanjeev; Deora, Sukhvinder Singh

doi:10.1109/pdgc56933.2022.10053313

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…Authenticity is paramount because unauthorized access is a major security concern, especially in life-critical IoT applications [9]. In existing IoT devices, coprocessors are employed for symmetric key-based encryption such as AES-128 and AES-256 [10]. However, maintenance of these keys is an administrative overhead and must be mitigated through the use of public/private key pairs [11].…”

Section: Introductionmentioning

confidence: 99%

Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids

Awan,

Dalveren,

Catak

et al. 2023

Electronics

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Smart grids incorporate diverse power equipment used for energy optimization in intelligent cities. This equipment may use Internet of Things (IoT) devices and services in the future. To ensure stable operation of smart grids, cybersecurity of IoT is paramount. To this end, use of cryptographic security methods is prevalent in existing IoT. Non-cryptographic methods such as radio frequency fingerprinting (RFF) have been on the horizon for a few decades but are limited to academic research or military interest. RFF is a physical layer security feature that leverages hardware impairments in radios of IoT devices for classification and rogue device detection. The article discusses the potential of RFF in wireless communication of IoT devices to augment the cybersecurity of smart grids. The characteristics of a deep learning (DL)-aided RFF system are presented. Subsequently, a deployment framework of RFF for smart grids is presented with implementation and regulatory aspects. The article culminates with a discussion of existing challenges and potential research directions for maturation of RFF.

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Section: Introductionmentioning

confidence: 99%