Blockchain-Based Information Sharing Security for the Internet of Things

Abstract

The Blockchain (BCT) is the first decentralized ledger to include a trust mechanism in its design. It establishes a trustworthy framework for distributed commands by using data redundancy at several nodes. Conspicuously, the current study presents a BCT-based lightweight IoT information exchange security architecture for data exchange. The proposed technique uses a dual chain methodology, namely transaction and data BCT working together to provide distributed storage and tamper-proofing of data. Moreover, Transaction BCT is enhanced by a consensus algorithm using a practical Byzantine fault-tolerant (PBFT) mechanism. The proposed algorithm can increase data registering efficiency, transactions, and privacy protection BCT. It is deduced that local dominance can be avoided using the dynamic game strategy of node cooperation. Furthermore, by reporting the node’s global reputation value, the status of the unknown node may be approximated. The high-trust measure is utilized to adjust the weight of the affected node in the combined node-set, leading to the Bayesian equilibrium. The proposed model is validated in several experimental simulations and results are compared with state-of-the-art techniques. Based on the results, enhanced performance is registered for the proposed techniques in terms of temporal delay, statistical efficiency, reliability, and stability.

Cybersecurity challenges across sustainable development goals: A comprehensive review

“…Within the context of the big data age, data sharing is gradually rising with the embodiment of data value. However, security problems such as centralized deployment, malicious theft, and tampering greatly affect the security of data [198]. Significant empirical evidence reveals that about 2.7 zettabytes of data in the digital universe are being threatened by cybercrime incidents that are on the rise globally.…”

A Privacy-Preserving Multilingual Comparable Corpus Construction Method in Internet of Things

“…Many previous studies have found the close relationship between IoT data sharing and data privacy protection. Currently, the focus on data privacy protection is mainly in specific areas, such as the data analysis of patient conditions in the medical field [37], industry information [4] and data protection in the railway transportation sector [29]. There is relatively less coverage of privacy protection concerning multilingual data based on IoT news.…”

“…Paper Summary [3,6,22] Privacy protection practice for data mining and construction corpus for multiple data clustering; multilingual comparable corpus used in language teaching; evaluation of privacy-oriented corpus by use of text anonymization. [4,8,30,36] Privacy protection for medical data, industry data and railway data, less coverage of multilingual comparable data in IoT.…”

“…AI technology supports the intelligent analysis and provides abundant opportunities for the practical applications by the use of corpus [2]. However, the more corpus data provided, the more privacy and security challenges might occur during data processing and sharing [3,4]. Corpus, a set of wellsampled and processed electronic texts, is the basic resource for studies of linguistics and computational, especially language engineering for applications and devices in the IoT [5].…”

A BlockChain-Based IoT Data Securing and Sharing System for Attendance Management

“…Blockchain Name Block-Time Blockchain based QR code (13) 0.217secs Blockchain in transition system (21) 0.188 msecs Blockchain based information sharing Security (27) 1.254 ms Proposed <0.210 msecs…”