IoT Security: A Comprehensive View

Dhanda, Sumit Singh; Singh, Brahmjit; Jindal, Poonam

doi:10.1007/978-3-030-33596-0_19

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…Data disclosure attacks can be network sniffing, device cloning, side channel attacks and cryptographic attacks. DoS attacks can be device jamming, device cloning, battery exhaustion and routing attacks [6].…”

Section: Iot Security Threatsmentioning

confidence: 99%

Internet of Things Security Aspects

Cvetković

Jokić

Adamović

et al. 2020

SNG

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The Internet of Things (IoT) connects almost all objects in the environment, whether they are physical or virtual using the Internet with the aim of creating new digital services that will improve lifestyle of the people. Currently, IoT devices cover a wide range of applications across the globe, such as smart cities, smart healthcare, smart transportation, smart homes, smart education, smart supply chains, smart agriculture, wearable devices, Industrial IoT (IIoT), smart energy where several have a direct impact on our daily life activities. With the advent of the Internet of Things, the size of the network has expanded beyond all boundaries, in which various IoT applications generate enormous amounts of data and require continuous Internet connection for communication between devices. Despite the countless benefits that IoT provides, there are some security challenges in this scenario. As data is communicated through wireless networks, challenges in the security domain can be such as data confidentiality, data authentication, data reliability, privacy.

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Section: Iot Security Threatsmentioning

confidence: 99%

Internet of Things Security Aspects

Cvetković

Jokić

Adamović

et al. 2020

SNG

View full text Add to dashboard Cite

show abstract

“…The IoT device and services are heterogeneous, and they need real-time decision-making within a short time period [9]. IoT devices are resource-constrained and designed to perform specific tasks in the deployed environment [10,11]. Almost all the currently deployed IoT solutions are centralized, and the cloud layer is the main place for device identification and authentication.…”

Section: Introductionmentioning

confidence: 99%

DIdM-EIoTD: Distributed Identity Management for Edge Internet of Things (IoT) Devices

Sadique

Rahmani

Johannesson

2023

Sensors

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The Internet of Things (IoT) paradigm aims to enhance human society and living standards with the vast deployment of smart and autonomous devices, which requires seamless collaboration. The number of connected devices increases daily, introducing identity management requirements for edge IoT devices. Due to IoT devices’ heterogeneity and resource-constrained configuration, traditional identity management systems are not feasible. As a result, identity management for IoT devices is still an open issue. Distributed Ledger Technology (DLT) and blockchain-based security solutions are becoming popular in different application domains. This paper presents a novel DLT-based distributed identity management architecture for edge IoT devices. The model can be adapted with any IoT solution for secure and trustworthy communication between devices. We have comprehensively reviewed popular consensus mechanisms used in DLT implementations and their connection to IoT research, specifically identity management for Edge IoT devices. Our proposed location-based identity management model is generic, distributed, and decentralized. The proposed model is verified using the Scyther formal verification tool for security performance measurement. SPIN model checker is employed for different state verification of our proposed model. The open-source simulation tool FobSim is used for fog and edge/user layer DTL deployment performance analysis. The results and discussion section represents how our proposed decentralized identity management solution should enhance user data privacy and secure and trustworthy communication in IoT.

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