IoT Security: Threats, Risks, Attacks

Sokolov, Sergei; Gaskarov, Vagiz D.; Knysh, Tatiana; Sagitova, Albina

doi:10.1007/978-981-33-6208-6_6

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…[1][2][3][4] The world of the IoT is expanding every day, and Gartner predicts that about 25 billion devices will be connected by the end of 2021 and will be able to transmit data. 5 Important features of the IoT include sensing, connectivity, and interaction between objects. IoT nodes are mainly powered by limited energy sources, including batteries.…”

Section: Introductionmentioning

confidence: 99%

Clustered Routing Method in the Internet of Things Using a Moth‐Flame Optimization Algorithm

Sadrishojaei

Navimipour

Reshadi

et al. 2021

Int J Communication

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Internet of Things (IoT) is a set of interrelated devices on the Internet platform that can receive and send data to make human life more efficient and convenient. Clustering is a useful data collection method in the IoT that selectively cuts energy consumption by forming IoT nodes into some clusters. The cluster head can control all cluster nodes, and all intracluster and intercluster connections are made through it. Due to the NP-Hard nature of the clustering problem, a moth-flame optimization algorithm is proposed to select the minimum number of necessary clusters for routing in this article. This scheme is

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Section: Introductionmentioning

confidence: 99%

Clustered Routing Method in the Internet of Things Using a Moth‐Flame Optimization Algorithm

Sadrishojaei

Navimipour

Reshadi

et al. 2021

Int J Communication

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Cyberattacks in the Water Transport Industry: Types and Diversity

Alekseenkov

Klyuchnikova

Dedova

et al. 2022

International Scientific Siberian Transport Forum TransSiberia - 2021

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PERMANENT: Publicly Verifiable Remote Attestation for Internet of Things Through Blockchain

Ankergård

Dushku

Dragoni

2022

Lecture Notes in Computer Science

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Remote Attestation (RA) is a security mechanism that allows a centralized trusted entity (Verifier) to check the trustworthiness of a potentially compromised IoT device (Prover). With the tsunami of interconnected IoT devices, the advancement of swarm RA schemes that efficiently attest large IoT networks has become crucial. Recent swarm RA approaches work towards distributing the attestation verification from a centralized Verifier to many Verifiers. However, the assumption of trusted Verifiers in the swarm is not practical in large networks. In addition, the state-of-the-art RA schemes do not establish network-wide decentralized trust among the interacting devices in the swarm. This paper proposes PERMANENT, a Publicly Verifiable Remote Attestation protocol for Internet of Things through Blockchain, which stores the historical attestation results of all devices in a blockchain and allows each interacting device to obtain the attestation result. PERMANENT enables devices to make a trust decision based on the historical attestation results. This feature allows the interaction among trustworthy devices (or with a trust score over a certain threshold) without the computational overhead of attesting every participating device before each interaction. We validate PERMANENT with a proof-of-concept implementation, using Hyperledger Sawtooth as the underlying blockchain. The conducted experiments confirm the feasibility of the PERMANENT protocol.

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IoT Security: Threats, Risks, Attacks

Cited by 6 publications

References 8 publications

Clustered Routing Method in the Internet of Things Using a Moth‐Flame Optimization Algorithm

Clustered Routing Method in the Internet of Things Using a Moth‐Flame Optimization Algorithm

Cyberattacks in the Water Transport Industry: Types and Diversity

PERMANENT: Publicly Verifiable Remote Attestation for Internet of Things Through Blockchain

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