A Review of Security Vulnerabilities in Industry 4.0 Application and the Possible Solutions Using Blockchain

Ramaiah, Mangayarkarasi; Chithanuru, Vasavi; Padma, Adla; Ravi, Vinayakumar

doi:10.1201/9781003203087-3

Cited by 8 publications

(2 citation statements)

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“…Initially, Blockchain technology was developed to support cryptocurrency called Bitcoin, used for transaction. Later on, it finds its applications in other domains like education, the Internet of Things (IoT), healthcare, pharmaceutical supply chains, government, agriculture, energy, food distribution manufacturing, and Industry 4.0 99 . Blockchain still has serious technological issues, despite its many benefits.…”

Section: Resultsmentioning

confidence: 99%

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

Chithanuru

Ramaiah

2023

Concurrency and Computation

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SummaryRecently, Blockchain cryptographic distributed transaction ledger technology finds its usage in many applications. The application's ledgers implemented through Blockchain, ensures tamper‐proof transactions, and in turn the applications became robust enough against cyber‐attack But still adversaries put forward their efforts in detecting the vulnerabilities in the infrastructure to execute their ill intent. In the literature, many counter measures techniques are presented to address the security breaches on the Blockchain. Detecting as well mitigating from the possible anomalies against on blockchain infrastructure through AI techniques is the greatest attempt of this article, and which is much needed now. Hence, this review article enlightens the readers with the essence of cyber security, the security aspects of Blockchain, its infrastructure vulnerabilities, various Blockchain‐enabled use cases along with the their challenges. Primarily, anomaly detection on Blockchain infrastructure through Artificial Intelligence Techniques is focused. A detailed analysis of Artificial Intelligence Techniques in detecting the anomalies with the help of Blockchain and also how these two technologies complement each other was demonstrated with the help of suitable use cases. The merits, challenges along with the possible future directions, while integrating Blockchain with Artificial Intelligence Techniques are presented for the benefit of research community.

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Section: Resultsmentioning

confidence: 99%

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

Chithanuru

Ramaiah

2023

Concurrency and Computation

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“…And finally, blocks are added on a time basis. In Smart city applications, multiple participants are making transactions at different instants of time and venues, and uploading data directly could place a significant load on the blockchain [14], [15]. Solutions built on the blockchain offer improved security options for smart cities.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

Padma,

Ramaiah

2024

IEEE Access

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Building smart services for smart cities has become a significant focus of the Internet of Things (IoT). These IoT devices are able to sense their surroundings and react appropriately. Smart city applications emphasize the necessity of safe data sharing across heterogeneous devices. Certain behaviors taken while sharing could aim at compromising security, privacy, and integrity. The centralized repository that is currently in place made the majority of hacks possible. The sharing of sensitive data and authentication are essential stages in guaranteeing the security of applications associated with IoT. Blockchain and IoT are two widely used technologies, with IoT focusing on data collection via various devices and blockchain enabling data integrity. This paper introduces a novel blockchain-based framework to ensure the security and integrity aspects of IoT data. The proposed SecPrivPreserve framework ensures security through various phases including initialization, registration, data protection, authentication, data access control, validation, and data sharing and download. Diverse security mechanisms such as passwords (OTP), encryption, and hashing have been deployed in various phases to strengthen security merits confidentiality, privacy, and integrity. Since the SecPrivPreserve framework is simulated in a permissioned blockchain platform the merits and tamper-proof and non-repudiation are automatically considered. Moreover, data protection uses Chebyshev polynomials and interpolation. The presented framework has experimented with Fabric SDK. The experimental results of the proposed framework are compared with the BaseLine state-ofthe-frameworks, The experimental analysis reveals that the proposed SecPrivPreserve approach achieved 34 Sec improvement in terms of responsiveness 94 Sec as computational time, encryption quality as 0.87 Sec and 0.82 Sec for detection rate.

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Detecting Security Breaches on Smart Contracts Through Techniques and Tools a Brief Review: Applications and Challenges

Padma,

Mangayarkarasi

2023

Cognitive Science and Technology

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A Review of Security Vulnerabilities in Industry 4.0 Application and the Possible Solutions Using Blockchain

Cited by 8 publications

References 0 publications

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

Detecting Security Breaches on Smart Contracts Through Techniques and Tools a Brief Review: Applications and Challenges

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