<p>In recent days, several advancements presented in communication technology and data-sharing methods have spread rapidly in different fields. Hence, security and data sharing are considered essential to realize the data value. Moreover, the original data-sharing techniques weren’t able to monitor the utilization of electronic data. The lack of enthusiasm of data suppliers to offer their information is considered a complex task. Several problems presented in big data safety are data integrity, data privacy, and infrastructure security. The big data analysis, storage, and processing are highly secured to utilize the cryptography approaches that are suitable for big data security over the cloud. Blockchain is utilized to offer transparency in the transmission applications and also the concurrent multithreading structure assures the enlarged data channeling for more number of receivers presented in the network. Thus, this research work explores a new concept of securing the data-sharing process with three phases: outsourcing big data, sharing big data, and managing big data. In addition, the smart contracts were designed with the aid of blockchain technology. Blockchain schemes offer a novel clarification to this security crisis by fusing traceable, non-tampering features with smart contracts that automatically accomplish default instructions. To provide security to the big data, encryption is carried out by the improved triple data encryption standard (ITDES) algorithm, where the improvement is done via adopting a newly recommended Enhanced Election-Based Optimization Algorithm (EEBOA). This strategy helps in promoting the final security and data sharing of big data. The experimental analysis displayed that the recommended multi-hop concurrent big data sharing framework secured a better data transaction rate than the classical approaches.</p>

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Heuristic-derived improved triple data encryption standard (ITDES) algorithm for multi-hop concurrent big data sharing using blockchain technology

  • Swetha Sundaram,
  • Joe Prathap Pathrose Mary

摘要

In recent days, several advancements presented in communication technology and data-sharing methods have spread rapidly in different fields. Hence, security and data sharing are considered essential to realize the data value. Moreover, the original data-sharing techniques weren’t able to monitor the utilization of electronic data. The lack of enthusiasm of data suppliers to offer their information is considered a complex task. Several problems presented in big data safety are data integrity, data privacy, and infrastructure security. The big data analysis, storage, and processing are highly secured to utilize the cryptography approaches that are suitable for big data security over the cloud. Blockchain is utilized to offer transparency in the transmission applications and also the concurrent multithreading structure assures the enlarged data channeling for more number of receivers presented in the network. Thus, this research work explores a new concept of securing the data-sharing process with three phases: outsourcing big data, sharing big data, and managing big data. In addition, the smart contracts were designed with the aid of blockchain technology. Blockchain schemes offer a novel clarification to this security crisis by fusing traceable, non-tampering features with smart contracts that automatically accomplish default instructions. To provide security to the big data, encryption is carried out by the improved triple data encryption standard (ITDES) algorithm, where the improvement is done via adopting a newly recommended Enhanced Election-Based Optimization Algorithm (EEBOA). This strategy helps in promoting the final security and data sharing of big data. The experimental analysis displayed that the recommended multi-hop concurrent big data sharing framework secured a better data transaction rate than the classical approaches.