Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Peng, Sheng; Cai, Zhiming; Liu, Wenjian; Wang, Wennan; Li, Guang; Sun, Yutin; Zhu, Linkai

doi:10.1155/2022/3406228

Cited by 14 publications

(6 citation statements)

References 23 publications

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“…The administrative database works as the principal warehouse of data associated to the e-voting method [49,50]. Its roles explains: voter registration, candidate data, election alignment, audit streams, and outcomes storage [54].…”

Section: ) Administrative Databasementioning

confidence: 99%

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Gupta,

Shukla

2024

Preprint

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The voting is always a crucial topic of public attention for democratic reasons. Due to its simplicity, ease of use, and low cost, e-voting is frequently used for such decision outcomes. The tremendous authority and intervening data in current e-voting systems, however, make them risky and make it difficult to achieve correct equity and clarity in e-voting. By combining e-voting with blockchain technology, these issues are resolved while providing reorganisation and intervention-resistant characteristics. A voter's improper manipulation, such as absenteeism, frequent voting, or non-party voting, may also undermine fairness. A verifier is therefore required to check the e-voting mechanism in order to ensure its effectiveness and control the process equality and fairness. In this paper, a Blockchain based e-Voting Mechanism (BVM) is developed for providing the end to end security and fairness for the transparent voting. This mechanism also provides a Zero-knowledge Proof (ZP) based verifier to inspect the voting procedure against voter`s misoperations and uses a Master-key Administration (MA) based public key cryptography to attack prevention. The utilization of blockchain technology ensures transparency, tamper resistance, and a high level of data integrity, making it a promising choice for modernizing and enhancing the electoral process. Also the performance of BVM has been compared and analysed based on time complexity, security analysis, performance factors like delay and throughput and antiattack examination.

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Section: ) Administrative Databasementioning

confidence: 99%

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Gupta,

Shukla

2024

Preprint

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“…However, the machine learning approaches were not devoted to developing the computation. A blockchain based on homomorphic encryption was determined in reference 15 to secure data transmission with lesser time. However, the designed method was not minimized space complexity.…”

Section: Related Workmentioning

confidence: 99%

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.

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“…On the other hand, the block provides a timestamp and information about the model owner, the current user or the person responsible for the phase, as well as the description of the current process phase. [28] The block also contains a log for documenting all actions performed and changes made with the chain used within the previous phase (Provenance data protocol). For the blockchain approach, all contractual agreements between the project participants are managed in the form of smart contracts in the DLT platform in addition to the processing of real contract documents.…”

Section: Structure Of the Blockchain Approachmentioning

confidence: 99%

Secure and Trustworthy Generation of Digital Models of Existing Bridge Structures Using Distributed Ledger Technology and Blockchain

Jäkel,

Kalisch,

Gölzhäuser

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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To ensure intact infrastructure systems and a long service life of bridge structures in the operational phase, the establishment of a predictive maintenance management based on digital 3D models is essential. These 3D models are often not provided, especially for existing bridge structures. In addition, their creation is very complex, resource-intensive and involves many stakeholders. Through the use of digital methods and technologies, important efficiency steps have been taken in the creation of digital models in recent years. Although semi-automated modeling of digital bridge models is possible, the quality agreed upon is not always achieved at the end of each development step. In this article, an approach is developed to create transparency, safety, consistency and traceability for the generation process of digital models of existing bridge structures. The approach involves all stakeholders participating in the process and creates a decentralized control and documentation mechanism using distributed ledger technology (DLT) and blockchain. First, the current status on the use of DLT in the construction industry and bridge engineering is presented. Then, the system concept is presented and the basic algorithm is described. The general system architecture and the workflow are presented and described in models. Then the basic feasibility of the approach is presented and the previously shown concept is implemented. The basic functions of the algorithm are described and the results are critically reviewed. The result of the article is showing the possibilities to use DLT and blockchain to improve the accuracy, transparency and security in the creation of digital models of existing bridge structures.

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Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Cited by 14 publications

References 23 publications

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Improving the End to End Protection in E-voting using BVM - Blockchain based e-Voting Mechanism

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Secure and Trustworthy Generation of Digital Models of Existing Bridge Structures Using Distributed Ledger Technology and Blockchain

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