Blockchain-Based Security Layer for Identification and Isolation of Malicious Things in IoT: A Conceptual Design

Banerjee, Mandrita; Lee, Jung‐Hee; Chen, Qian; Choo, Kim‐Kwang Raymond

doi:10.1109/icccn.2018.8487447

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…In the proposed method, CHs are pre-selected to detect malicious nodes. In [281], the authors introduce a security layer in IoT to detect and isolate malicious nodes based on clustering techniques. They consider CHs as resource-rich nodes which are simultaneously miners and also keep a copy of nodes' firmware.…”

Section: A Blockchain and Iotmentioning

confidence: 99%

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

Shahraki

Taherkordi

Haugen

et al. 2021

IEEE Trans. Netw. Serv. Manage.

121

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Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over networks that support device-to-device (D2D) communication, e.g., D2D-enabled cellular networks and WiFi-Direct. In these ad-hoc types of IoT networks, efficient topology management is a crucial requirement, and in particular in massive scale deployments. Traditionally, clustering has been recognized as a common approach for topology management in ad-hoc networks, e.g., in Wireless Sensor Networks (WSNs). Topology management in WSNs and ad-hoc IoT networks has many design commonalities as both need to transfer data to the destination hop by hop. Thus, WSN clustering techniques can presumably be applied for topology management in ad-hoc IoT networks. This requires a comprehensive study on WSN clustering techniques and investigating their applicability to ad-hoc IoT networks. In this paper, we conduct a survey of this field based on the objectives for clustering, such as reducing energy consumption and load balancing, as well as the network properties relevant for efficient clustering in IoT, such as network heterogeneity and mobility. Beyond that, we investigate the advantages and challenges of clustering when IoT is integrated with modern computing and communication technologies such as Blockchain, Fog/Edge computing, and 5G. This survey provides useful insights into research on IoT clustering, allows broader understanding of its design challenges for IoT networks, and sheds light on its future applications in modern technologies integrated with IoT.

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Section: A Blockchain and Iotmentioning

confidence: 99%

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

Shahraki

Taherkordi

Haugen

et al. 2021

IEEE Trans. Netw. Serv. Manage.

121

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“…The development phase of IIoT includes data collection and storage, production management and analysis, business intelligence and decision making, and business model change [26]. For the IIoT implementation, the most critical issues are the security of the data [27], the trust of network [28], and isolation connection [29].…”

Section: Blockchain and Iiot A The Problems Of Iiotmentioning

confidence: 99%

BPIIoT: A Light-Weighted Blockchain-Based Platform for Industrial IoT

Bai

Liu

et al. 2019

IEEE Access

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Blockchain is experiencing rapid development and has the full potential of revolutionizing the IoT platform in the industrial field. In this paper, a light-weighted Blockchain-based platform for IIoT is presented to address security, trust, and island connection problem in the process of IIoT ecosystem construction. BPIIoT is comprised of the on-chain network and the off-chain network. All transactions are processed in the on-chain network such as including digital signature based on access control and programmable permission. The off-chain network deals with the storage, complex data processing, and other problems that blockchain cannot solve. The smart contract is utilized as the service contract of consumers and manufacture resources, providing on-demand manufacturing service. Two smart application cases, manufacturing equipment data sharing and maintenance service sharing from smart manufacturing, are implemented to explain the smart contract for equipment maintenance service and status data sharing service throughout maintenance, repair, and operation service network by the BPIIoT.

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“…Prior research efforts have made significant progress in addressing the scalability concerns of RA protocols. Many have explored the use of blockchain technologies [1], [2], [3], [4], [5], [6], [7], [8] or the integration of proxy verifiers [2]. However, the inherent interactivity of attestation mechanisms and the need for privileged access to confidential data during the attestation finalization process continue to hinder significant scalability improvements.…”

Section: Introductionmentioning

confidence: 99%

“…https://sepolia.etherscan.io/address/0x5a0f87fdfc22523ad72b3ea759abe80 20903bb72 5. https://sepolia.etherscan.io/tx/0xe9725c4b1ff4c5b763a02250e46c95eb0edf e04dee267cc75e4a27040543677b 6 https://sepolia.etherscan.io/tx/0xc120a8ff605280cbe2b971a079649e1ccac 68097b02fde2d63c10a49506f245a 7 https://sepolia.etherscan.io/tx/0x7e0424a2c63a811a1debde708392c5e073 80c256a3b619755ac7071986559278…”

mentioning

confidence: 99%

From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation

Ebrahimi,

Hassanizadeh

2024

Proceedings 2024 Network and Distributed System Security Symposium

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Remote attestation (RA) protocols have been widely used to evaluate the integrity of software on remote devices. Currently, the state-of-the-art RA protocols lack a crucial feature: transparency. This means that the details of the final attestation verification are not openly accessible or verifiable by the public. Furthermore, the interactivity of these protocols often limits attestation to trusted parties who possess privileged access to confidential device data, such as pre-shared keys and initial measurements. These constraints impede the widespread adoption of these protocols in various applications.In this paper, we introduce zRA, a non-interactive, transparent, and publicly provable RA protocol based on zkSNARKs. zRA enables verification of device attestations without the need for pre-shared keys or access to confidential data, ensuring a trustless and open attestation process. This eliminates the reliance on online services or secure storage on the verifier side. Moreover, zRA does not impose any additional security assumptions beyond the fundamental cryptographic schemes and the essential trust anchor components on the prover side (i.e., ROM and MPU). The zero-knowledge attestation proofs generated by devices have constant size regardless of the network complexity and number of attestations. Moreover, these proofs do not reveal sensitive information regarding internal states of the device, allowing verification by anyone in a public and auditable manner. We conduct an extensive security analysis and demonstrate scalability of zRA compared to prior work. Our analysis suggests that zRA excels especially in peer-to-peer and Pub/Sub network structures. To validate the practicality, we implement an open-source prototype of zRA using the Circom language. We show that zRA can be securely deployed on public permissionless blockchains, serving as an archival platform for attestation data to achieve resilience against DoS attacks.

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Blockchain-Based Security Layer for Identification and Isolation of Malicious Things in IoT: A Conceptual Design

Cited by 9 publications

References 21 publications

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

BPIIoT: A Light-Weighted Blockchain-Based Platform for Industrial IoT

From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation

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