A Lightweight Authentication via Unclonable Functions for Industrial Internet-of-Things

Bhatttacharya, Pronaya; Patel, Kartik; Zuhair, Mohd; Trivedi, Chandan

doi:10.1109/iciptm54933.2022.9754198

Cited by 12 publications

(4 citation statements)

References 16 publications

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“…2) Present remedy and how the EXAI can be useful: Automation and AI-based decisions can assist system experts and module operators to make decisions properly and quickly when their tasks entail complex systems and procedures. However, the processes and product-related decisions require its authentication in terms of certifications and verification [121]. Therefore, explanations must be provided for these decisions for the AI models associated with the digital twin and collaborative robots.…”

Section: B Explainable Ai and Digital Twinsmentioning

confidence: 99%

Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions

Trivedi,

Bhattacharya,

Prasad

et al. 2024

IEEE Open J. Ind. Applicat.

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The Industrial Revolution has shifted towards Industry 5.0, reinventing the Industry 4.0 operational process by introducing human elements into critical decision processes. Industry 5.0 would present massive customization via transformative technologies like cyber-physical systems, artificial intelligence (AI), and big-data analytics. In Industry 5.0, the AI models must be transparent, valid, and interpretable. AI models employ machine learning (ML) and deep learning (DL) mechanisms to make the industrial process autonomous, reduce downtime, and improve operational and maintenance costs. However, the models require explainability in the learning process. Thus explainable AI (EXAI) adds interpretability and improves the diagnosis of critical industrial processes, which augments the machine-to-human (M2H) explanations and vice-versa. Recent surveys of EXAI in industrial applications are mostly oriented towards EXAI models, the underlying assumptions. Still, fewer studies are conducted towards a holistic integration of EXAI with human-centric processes that drives the Industry 5.0 applicative verticals. Thus, to address the gap, we propose a first-of-its-kind survey that systematically untangles EXAI integration and its potential in Industry 5.0 applications. First, we present the background of EXAI in Industry 5.0 and cyber-physical systems (CPS) and a reference EXAI-based Industry 5.0 architecture with insights into Large Language Models (LLMs). Then, based on the research questions, a solution taxonomy of EXAI in Industry 5.0 is presented, which is ably supported by applicative use cases (cloud, digital twins, smart grids, augmented reality, and unmanned aerial vehicles). Finally, a case study of EXAI in manufacturing cost assessment is discussed, followed by open issues and future directions. The survey is designed to extend novel prototypes and designs to realize EXAI-based in real-time Industry 5.0 applications.

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Section: B Explainable Ai and Digital Twinsmentioning

confidence: 99%

Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions

Trivedi,

Bhattacharya,

Prasad

et al. 2024

IEEE Open J. Ind. Applicat.

Self Cite

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“…109 However, recent trends in security have shown that the majority of the existing CLS methods are vulnerable to several widespread security flaws, including distributed denial-of-service attacks, key generation center-based attacks (master key compromise), and the man-in-the-middle attacks. 110 Thus, conventional CLS schemes are now replaced by advanced crypto primitives and concepts. We present advanced primitives for discussion: redactable blockchains, post-quantum cryptography, lattice-based encryption, and zero-knowledge proofs.…”

Section: Recent Trends In Blockchain Securitymentioning

confidence: 99%

A transformative shift toward blockchain‐basedIoTenvironments: Consensus, smart contracts, and future directions

Trivedi

Rao

Parmar

et al. 2023

Security and Privacy

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Recently, Internet‐of‐Things (IoT) based applications have shifted from centralized infrastructures to decentralized ecosystems, owing to user data's security and privacy limitations. The shift has opened new doors for intruders to launch distributed attacks in diverse IoT scenarios that jeopardize the application environments. Moreover, as heterogeneous and autonomous networks communicate, the attacks intensify, which justifies the requirement of trust as a key policy. Recently, blockchain‐based IoT solutions have been proposed that address trust limitations by maintaining data consistency, immutability, and chronology in IoT environments. However, IoT ecosystems are resource‐constrained and have low bandwidth and finite computing power of sensor nodes. Thus, the inclusion of blockchain requires an effective policy design regarding consensus and smart contract environments in heterogeneous IoT applications. Recent studies have presented blockchain as a potential solution in IoT, but an effective view of consensus and smart contract design to meet the end application requirements is an open problem. Motivated by the same, the survey presents the integration of suitable low‐powered consensus protocols and smart contract design to assess and validate the blockchain‐IoT ecosystems. We present blockchain‐IoT's emerging communication and security aspects with performance issues of consensus protocols, interoperability, and implementation platforms. A case study of a smart contract‐based blockchain‐driven ecosystem is presented with a comparative analysis of mining cost and latency, which shows its suitability in real‐world setups. We also highlight attacks on blockchain IoT, open issues, potential findings, and future directions. The survey intends to drive novel solutions for future consensus and safe, smart contract designs to support applicative IoT ecosystems.

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“…Thus, the industrial perimeters must have strong security and privacy in place. Furthermore, as BC technology has matured, it would form a trusted perimeter where the internal applications can have authentication and authorization in place [41]. Thus, the integration of BC in Industry 5.0 verticals is required to be discussed.…”

Section: E Survey Gapsmentioning

confidence: 99%

Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions

et al. 2022

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Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at massive automation, towards a more customer-driven approach. The shift has been attributed to the design of hyper-cognitive systems, integration of virtual and extended reality, digital machinery prototyping and twin designs, trusted machine boundaries, collaborative robots, and artificial intelligence (AI)-based supply chains. This new wave, termed Industry 5.0, is expected to leverage massive production with user-centric customization outside the scope of Industry 4.0 ecosystems. Industry 5.0 is expected to assist diverse industrial verticals like healthcare, smart farming, drones, smart grids, and supply chain production ecosystems. However, data is shared among multiple heterogeneous networks, spanning different authoritative domains. Thus, trusted and secured data transfer is crucial to synergize and secure the industrial perimeters. Blockchain (BC) is a preferred choice as a security enabler to Industry 5.0 ecosystems owing to its inherent property of immutability, chronology, and auditability in industrial systems. Limited works are proposed that present the vision and holistic view of BC-assisted Industry 5.0 applications. The article presents a first-of-its-kind survey on BC as a security enabler in Industry 5.0. Based on a descriptive survey methodology and research questions, we presented the key drivers, and potential applications, and propose an architectural vision of BC-based Industry 5.0 in diverse applicative verticals. The survey intends to present solutions that would assist industry practitioners, academicians, and researchers to drive novel BCassisted solutions in Industry 5.0 verticals.

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A Lightweight Authentication via Unclonable Functions for Industrial Internet-of-Things

Cited by 12 publications

References 16 publications

Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions

Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions

A transformative shift toward blockchain‐basedIoTenvironments: Consensus, smart contracts, and future directions

Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions

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