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  • 1
    Online Resource
    Online Resource
    Supplemental Information 3: Framework codes.
    PeerJ ; 2022
    In:  PeerJ Computer Science Vol. 8 ( 2022-01-12), p. e801-
    Details
    In: PeerJ Computer Science, PeerJ, Vol. 8 ( 2022-01-12), p. e801-
    Abstract: The increasing number of rice product safety issues and the potential for contamination have established an enormous need for an effective strategy for the traceability of the rice supply chain. Tracing the origins of a rice product from raw materials to end customers is very complex and costly. Existing food supply chain methods (for example, rice) do not provide a scalable and cost-effective means of agricultural food supply. Besides, consumers lack the capability and resources required to check or report on the quality of agricultural goods in terms of defects or contamination. Consequently, customers are forced to decide whether to utilize or discard the goods. However, blockchain is an innovative framework capable of offering a transformative solution for the traceability of agricultural products and food supply chains. The aim of this paper is to propose a framework capable of tracking and monitoring all interactions and transactions between all stakeholders in the rice chain ecosystem through smart contracts. The model incorporates a system for customer satisfaction feedback, which enables all stakeholders to get up-to-date information on product quality, enabling them to make more informed supply chain decisions. Each transaction is documented and stored in the public ledger of the blockchain. The proposed framework provides a safe, efficient, reliable, and effective way to monitor and track rice products safety and quality especially during product purchasing. The security and performance analysis results shows that the proposed framework outperform the benchmark techniques in terms of cost-effectiveness, security and scalability with low computational overhead.
    Type of Medium: Online Resource
    ISSN: 2376-5992
    URL: Article
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    DOI: 10.7717/peerj-cs.801
    DOI: 10.7717/peerj-cs.801/fig-1
    DOI: 10.7717/peerj-cs.801/fig-2
    DOI: 10.7717/peerj-cs.801/fig-3
    DOI: 10.7717/peerj-cs.801/fig-4
    DOI: 10.7717/peerj-cs.801/fig-5
    DOI: 10.7717/peerj-cs.801/table-1
    DOI: 10.7717/peerj-cs.801/table-6
    DOI: 10.7717/peerj-cs.801/table-7
    DOI: 10.7717/peerj-cs.801/table-8
    DOI: 10.7717/peerj-cs.801/table-9
    DOI: 10.7717/peerj-cs.801/table-2
    DOI: 10.7717/peerj-cs.801/table-3
    DOI: 10.7717/peerj-cs.801/table-4
    DOI: 10.7717/peerj-cs.801/table-5
    DOI: 10.7717/peerj-cs.801/supp-1
    DOI: 10.7717/peerj-cs.801/supp-2
    DOI: 10.7717/peerj-cs.801/supp-3
    Language: English
    Publisher: PeerJ
    Publication Date: 2022
    detail.hit.zdb_id: 2868384-5
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  • 2
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    BHC-IoT: A Survey on Healthcare IoT Security Issues and Blockchain-Based Solution
    International Journal of Electrical and Computer Engineering Research ; 2022
    In:  International Journal of Electrical and Computer Engineering Research Vol. 2, No. 4 ( 2022-12-15), p. 1-9
    Details
    In: International Journal of Electrical and Computer Engineering Research, International Journal of Electrical and Computer Engineering Research, Vol. 2, No. 4 ( 2022-12-15), p. 1-9
    Abstract: The Internet of Things (IoT) has become one of the most widely utilized technologies in the recent decade, particularly in healthcare systems. With the usage of wearable and mobile devices, IoT-based healthcare systems have significantly increased the value of the healthcare sector, resulting in the effective use of health data exchange for enhanced, accurate, and quick diagnosis. These devices communicate, process, compute and monitor real-time scenarios via wireless or wired connections. Such devices are heterogeneous, having limited memory and computational power. The adoption of the IoT system in healthcare raises security and privacy concerns. Healthcare records containing sensitive patient data complicate this system since there is a danger of a privacy breach, privacy leakage, tampering, and so on. Blockchain technology has recently emerged as a promising solution to such breaches and problems. In this study, we consider various challenges to healthcare IoT implementation for widespread practical use, considering the security concerning the IoT layered architecture. We have categorized various layered security issues faced by IoT and specific attacks and security issues faced in communication, computation, and authentication IoT-based healthcare systems. Then we demonstrate how blockchain technology can be a key enabler in resolving numerous healthcare IoT security issues. We concluded that blockchain provides a secure and efficient way to resolve healthcare issues.
    Type of Medium: Online Resource
    ISSN: 2791-6677
    URL: Article
    DOI: 10.53375/ijecer.2022.302
    Language: Unknown
    Publisher: International Journal of Electrical and Computer Engineering Research
    Publication Date: 2022
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  • 3
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    Extraction of Hidden Authentication Factors from Possessive Information
    MDPI AG ; 2023
    In:  Journal of Sensor and Actuator Networks Vol. 12, No. 4 ( 2023-08-11), p. 62-
    Details
    In: Journal of Sensor and Actuator Networks, MDPI AG, Vol. 12, No. 4 ( 2023-08-11), p. 62-
    Abstract: Smartphones have emerged as a ubiquitous personal gadget that serve as a repository for individuals’ significant personal data. Consequently, both physiological and behavioral traits, which are classified as biometric technologies, are used in authentication systems in order to safeguard data saved on smartphones from unauthorized access. Numerous authentication techniques have been developed; however, several authentication variables exhibit instability in the face of external influences or physical impairments. The potential failure of the authentication system might be attributed to several unpredictable circumstances. This research suggests that the use of distinctive and consistent elements over an individual’s lifespan may be employed to develop an authentication classification model. This model would be based on prevalent personal behavioral biometrics and could be readily implemented in security authentication systems. The biological biometrics acquired from an individual’s typing abilities during data entry include their name, surname, email, and phone number. Therefore, it is possible to establish and use a biometrics-based security system that can be sustained and employed during an individual’s lifetime without the explicit dependance on the functionality of the smartphone devices. The experimental findings demonstrate that the use of a mobile touchscreen as the foundation for the proposed verification mechanism has promise as a high-precision authentication solution.
    Type of Medium: Online Resource
    ISSN: 2224-2708
    URL: Article
    DOI: 10.3390/jsan12040062
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662249-X
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  • 4
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    Blockchain-based privacy and security model for transactional data in large private networks
    Springer Science and Business Media LLC ; 2023
    In:  Scientific Reports Vol. 13, No. 1 ( 2023-10-10)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-10-10)
    Abstract: Cyberphysical systems connect physical devices and large private network environments in modern communication systems. A fundamental worry in the establishment of large private networks is mitigating the danger of transactional data privacy breaches caused by adversaries using a variety of exploitation techniques. This study presents a privacy-preserving architecture for ensuring the privacy and security of transaction data in large private networks. The proposed model employs digital certificates, RSA-based public key infrastructure, and the blockchain to address user transactional data privacy concerns. The model also guarantees that data in transit remains secure and unaltered and that its provenance remains authentic and secure during node-to-node interactions within a large private network. The proposed model has increased the encryption speed by about 17 times, while the decryption process is expedited by 4 times. Therefore, the average overall acceleration obtained was 16.5. Both the findings of the security analysis and the performance analysis demonstrate that the proposed model can safeguard transactional data during communications on large private networks more effectively and securely than the existing solutions.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-023-44101-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2615211-3
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  • 5
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    Blockchain-based secure multi-resource trading model for smart marketplace
    Springer Science and Business Media LLC ; 2021
    In:  Computing Vol. 103, No. 3 ( 2021-03), p. 379-400
    Details
    In: Computing, Springer Science and Business Media LLC, Vol. 103, No. 3 ( 2021-03), p. 379-400
    Type of Medium: Online Resource
    ISSN: 0010-485X , 1436-5057
    URL: Article
    DOI: 10.1007/s00607-020-00886-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1458946-1
    detail.hit.zdb_id: 215907-7
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  • 6
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    MarketTrust: blockchain-based trust evaluation model for SIoT-based smart marketplaces
    Springer Science and Business Media LLC ; 2023
    In:  Scientific Reports Vol. 13, No. 1 ( 2023-07-18)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-07-18)
    Abstract: Due to the significance of trust in Social Internet of Things (SIoT)-based smart marketplaces, several research have focused on trust-related challenges. Trust is necessary for a smooth connection, secure systems, and dependable services during trade operations. Recent SIoT-based trust assessment approaches attempt to solve smart marketplace trust evaluation difficulties by using a variety of direct and indirect trust evaluation techniques and other local trust rating procedures. Nevertheless, these methodologies render trust assessment very sensitive to seller dishonesty, and a dishonest seller may influence local trust scores and at the same time pose a significant trust related threats in the system. In this article, a MarketTrust model is introduced, which is a blockchain-based method for assessing trust in an IoT-based smart marketplace. It has three parts: familiarity, personal interactions, and public perception. A conceptual model, assessment technique, and a global trust evaluation system for merging the three components of a trust value are presented and discussed. Several experiments were conducted to assess the model's security, viability, and efficacy. According to results, the MarketTrust model scored a 21.99% higher trust score and a 47.698% lower average latency than both benchmark models. Therefore, this illustrates that using the proposed framework, a potential buyer can efficiently choose a competent and trustworthy resource seller in a smart marketplace and significantly reduce malicious behavior.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-023-38078-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2615211-3
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  • 7
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    ShareChain : Blockchain‐enabled model for sharing patient data using federated learning and differential privacy
    Wiley ; 2023
    In:  Expert Systems Vol. 40, No. 5 ( 2023-06)
    Details
    In: Expert Systems, Wiley, Vol. 40, No. 5 ( 2023-06)
    Abstract: Every individual in our technologically evolved world needs proper data security. The procedure of exchanging medical information is increasingly concerned with data privacy. Many techniques have been offered for preserving data security. These techniques use approaches such as ‐anonymity, ‐diversity, and others. However, such solutions are vulnerable to attribute disclosure, homogeneity, and background knowledge risks due to their syntactic nature. In this work, we describe a safe and secure architecture and semantic approach for data sharing that is based on blockchain, local differential privacy (LDP), and federated learning (FL). The proposed framework generates an atmosphere devoid of trust in which data owners are no longer required to have trust in the controllers. The FL models enable the whole network to decentralize its data‐driven learning. Interplanetary file system (IPFS) is used to provide data security in a distributed environment because each file in IPFS has a digital fingerprint that is computed using a cryptographic hash function on the file's whole contents. Due to the rigorous privacy guarantee, data owners no longer need to be worried about the security of their data. The proposed model's assessment parameters include latency, throughput, privacy, and accuracy. The data privacy of the proposed model is protected via LDP and FL, and its latency and throughput communication transactions on permissioned blockchain are calculated and compared with those of the benchmark model. The findings indicate that the proposed model delivers 85% more accurate privacy than the benchmark model.
    Type of Medium: Online Resource
    ISSN: 0266-4720 , 1468-0394
    URL: Issue
    URL: Article
    DOI: 10.1111/exsy.v40.5
    DOI: 10.1111/exsy.13131
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 284011-X
    detail.hit.zdb_id: 283676-2
    detail.hit.zdb_id: 2016958-9
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  • 8
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    Blockchain-based DDoS attack mitigation protocol for device-to-device interaction in smart home
    Elsevier BV ; 2023
    In:  Digital Communications and Networks Vol. 9, No. 2 ( 2023-04), p. 383-392
    Details
    In: Digital Communications and Networks, Elsevier BV, Vol. 9, No. 2 ( 2023-04), p. 383-392
    Type of Medium: Online Resource
    ISSN: 2352-8648
    URL: Article
    DOI: 10.1016/j.dcan.2023.01.013
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2831784-1
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  • 9
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    A Privacy-Enabled, Blockchain-Based Smart Marketplace
    MDPI AG ; 2023
    In:  Applied Sciences Vol. 13, No. 5 ( 2023-02-24), p. 2914-
    Details
    In: Applied Sciences, MDPI AG, Vol. 13, No. 5 ( 2023-02-24), p. 2914-
    Abstract: Advancements in sensor-enabled devices led to the emergence of resource trading models for smart communities, such as the smart marketplace (SMP). Most of the proposed SMP architectures are based on blockchain technology, which has a public ledger to achieve transparency. Consequently, safeguarding the participant’s anonymity, untraceability, and transactional data privacy during trading becomes a challenging task. Most of the existing solutions to achieve anonymity are based on multiple account mapping, which is prone to identity-based attacks, and cryptographic techniques are used to achieve transactional data privacy, which often has a high computational overhead. In this work, we propose a lightweight privacy-enabled message exchange mechanism to accomplish our privacy goals in a blockchain-based SMP. Evaluation of the scheme was conducted to measure its resilience toward safeguarding participants’ anonymity, untraceability, and transactional data privacy during trading cycles. Statistical game theory-based security analysis and simulation based performance analysis of the proposed scheme showed that it achieved the desired privacy goals with a low computational overhead compared with existing state-of-the-art schemes.
    Type of Medium: Online Resource
    ISSN: 2076-3417
    URL: Article
    DOI: 10.3390/app13052914
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2704225-X
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  • 10
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    A Survey of Blockchain Technology: Architecture, Applied Domains, Platforms, and Security Threats
    SAGE Publications ; 2023
    In:  Social Science Computer Review Vol. 41, No. 5 ( 2023-10), p. 1941-1962
    Details
    In: Social Science Computer Review, SAGE Publications, Vol. 41, No. 5 ( 2023-10), p. 1941-1962
    Abstract: Blockchain technology is at the peak of hype and contemporary research area across the world. It is a distributed ledger that keeps records of transactions with verifiable and immutable structures and continuously grows with the new block of transactions. Blockchain provides better transparency, enhanced security and privacy, and true traceability over the traditional approaches. Due to its advanced and secure features, it is being used in various fields such as trade finance, digital transactions, the Internet of Things (IoT), the healthcare industry, and energy sector. Blockchain technology has a great impact in all its applied fields with the prominent features of privacy and reliability of data and transactions. This survey intends to present the architecture of blockchain, its potential applications, and practices in different domains other than cryptocurrency along with the platform of blockchain. This paper will explore some potential benefits of blockchain and some future directions and open challenges that are expected to come in future research.
    Type of Medium: Online Resource
    ISSN: 0894-4393 , 1552-8286
    URL: Article
    DOI: 10.1177/08944393221110148
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2021894-1
    SSG: 3,4
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