DHACS: Smart Contract-Based Decentralized Hybrid Access Control for Industrial Internet-of-Things

Saha, Rahul; Kumar, Gulshan; Conti, Mauro; Devgun, Tannishtha; Kim, Tai-hoon; Azab, Mamoun Al; Thomas, Reji

doi:10.1109/tii.2021.3108676

Cited by 34 publications

(20 citation statements)

References 23 publications

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“…Access control was tested and found equally effective in firewall, server, application, database, and data layer. Rule-based [120][121][122] Prioritize sensing and communicating nodes as per their role LACS [123] Authorizing Fog nodes based on caching services, DeCoNet [124] Cluster reachability-distance based utilization of thinning operation to enforce Access validation.…”

Section: Classification Of Internet Of Things Access Controlmentioning

confidence: 99%

“…Fog-cloud computing outsourcing verification to avoid access structure data leaks Li et al [115] highlighted the ability of CP-WABE to safeguard information security on the Internet of Health Things (IoHT) as a crucial component of a highly appreciated security technique for attaining flawless access control. To tackle this limitation, a novel method of formulating access policies was devised that makes use of 0-1 coding technol- Rule-based [120][121][122] Prioritize sensing and communicating nodes as per their role LACS [123] Authorizing Fog nodes based on caching services, DeCoNet [124] Cluster reachability-distance based utilization of thinning operation to enforce Access validation.…”

Section: Oac-has [127]mentioning

confidence: 99%

See 1 more Smart Citation

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Tariq

Ahmed

Bashir

et al. 2023

Sensors

114

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The emergence of the Internet of Things (IoT) technology has brought about tremendous possibilities, but at the same time, it has opened up new vulnerabilities and attack vectors that could compromise the confidentiality, integrity, and availability of connected systems. Developing a secure IoT ecosystem is a daunting challenge that requires a systematic and holistic approach to identify and mitigate potential security threats. Cybersecurity research considerations play a critical role in this regard, as they provide the foundation for designing and implementing security measures that can address emerging risks. To achieve a secure IoT ecosystem, scientists and engineers must first define rigorous security specifications that serve as the foundation for developing secure devices, chipsets, and networks. Developing such specifications requires an interdisciplinary approach that involves multiple stakeholders, including cybersecurity experts, network architects, system designers, and domain experts. The primary challenge in IoT security is ensuring the system can defend against both known and unknown attacks. To date, the IoT research community has identified several key security concerns related to the architecture of IoT systems. These concerns include issues related to connectivity, communication, and management protocols. This research paper provides an all-inclusive and lucid review of the current state of anomalies and security concepts related to the IoT. We classify and analyze prevalent security distresses regarding IoT’s layered architecture, including connectivity, communication, and management protocols. We establish the foundation of IoT security by examining the current attacks, threats, and cutting-edge solutions. Furthermore, we set security goals that will serve as the benchmark for assessing whether a solution satisfies the specific IoT use cases.

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Section: Classification Of Internet Of Things Access Controlmentioning

confidence: 99%

Section: Oac-has [127]mentioning

confidence: 99%

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Tariq

Ahmed

Bashir

et al. 2023

Sensors

114

View full text Add to dashboard Cite

show abstract

“…Moving the focus towards industrial application, Sah et al proposed in [28] a blockchain-based framework called Decentralized Hybrid Access Control for Smart contract (DHACS) for the Industrial Internet-of-Thing (IIoT) to bring up a robust access control mechanism for the IIoT. In another work, Lin et al considered the challenge of secure data aggregation for the increasing number of data processing and sharing flows via industrial applications and services [29].…”

Section: Related Workmentioning

confidence: 99%

Towards Managing Industrial Robot Fleets with Hyperledger Fabric Blockchain and ROS 2

Salimi¹,

Queralta²,

Westerlund³

2022

Preprint

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Trust is increasingly becoming a key consideration in the design of autonomous robotic systems. In industrial applications, security and trust in the system are requirements for widespread adoption. Blockchain technologies have emerged as a potential solution to address identity management and secure data aggregation and control. However, the vast majority of works to date utilize Ethereum and smart contracts that are not scalable or well suited for industrial applications. This paper presents what is, to the best of our knowledge, the first integration of ROS 2 with the Hyperledger Fabric blockchain. With a framework that leverages Fabric smart contracts and ROS 2 through a Go application, we delve into the potential of using blockchain for controlling robots, and gathering and processing their data. We demonstrate the applicability of the proposed framework to an inventory management use-case where different robots are used to detect objects of interest in a given area. Designed to meet the requirements of distributed robotic systems, we show that the performance of the robots is not impacted significantly by the blockchain layer. At the same time, we provide examples for developing other applications that integrate Fabric smart contracts with ROS 2. Our results pave the way for further adoption of blockchain technologies in autonomous robotic systems for building trustable data sharing.

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“…The rapid development of the Internet has prompted the beginning of the information age [ 1 , 2 , 3 , 4 ]. As a two-dimensional image, the quick response (QR) code carries a lot of information [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Lossless-Recovery Secret Distribution Scheme Based on QR Codes

Pan

Liu

Yan

et al. 2023

Entropy

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The visual cryptography scheme (VCS) distributes a secret to several images that can enhance the secure transmission of that secret. Quick response (QR) codes are widespread. VCS can be used to improve their secure transmission. Some schemes recover QR codes with many errors. This paper uses a distribution mechanism to achieve the error-free recovery of QR codes. An error-correction codeword (ECC) is used to divide the QR code into different areas. Every area is a key, and they are distributed to n shares. The loss of any share will make the reconstructed QR code impossible to decode normally. Stacking all shares can recover the secret QR code losslessly. Based on some experiments, the proposed scheme is relatively safe. The proposed scheme can restore a secret QR code without errors, and it is effective and feasible.

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DHACS: Smart Contract-Based Decentralized Hybrid Access Control for Industrial Internet-of-Things

Cited by 34 publications

References 23 publications

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Towards Managing Industrial Robot Fleets with Hyperledger Fabric Blockchain and ROS 2

A Lossless-Recovery Secret Distribution Scheme Based on QR Codes

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