The Intelligent Securely Storing Data in Distributed Systems for Big Data

Thakre N.K.; Venkatesh C.; García Pisconte S.K.; Campos Ramírez L.C.; Medina Vásquez M.L.; Bajaj K.K. · 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 (2023) · DOI: 10.1109/peeic59336.2023.10452139

Resumen

Massive records afford an ever-developing task of securely storing facts. For disbursed structures, deploying a mechanism in which the facts are securely saved and available from multiple nodes is vital. Wise techniques, including hierarchical Keyless Signature Schemes (KSS), offer robust cryptographic mechanisms to ensure that the information stored in a distributed machine is at ease. KSS allows data to be cryptographically based without the use of keys, the usage of pseudorandom features, or keyed hash functions. The hierarchical structure of KSS guarantees the secure distribution of statistics across a couple of sites, nodes, and structures and prevents malicious assaults on information from ample, distributed records assets. Moreover, KSS allows authentication and get entry to manage records saved in dispensed systems for massive facts to limit undesired to get admission to personal facts. In the end, an innovative and resilient method like KSS ensures that secure storage of records is maintained across distributed systems for extensive information without sacrificing performance or scalability. Sensible securely storing information in disbursed structures for ample information involves the usage of distributed network infrastructure and cryptography algorithms to store sensitive virtual facts securely. In dispensed systems, facts are saved and transmitted throughout many extraordinary computer systems, preventing records from being misplaced in an unmarried failure factor. Additionally, cryptographic algorithms used to shop and transmit information allow records to be secured against malicious activity. For big information situations, dispensed structures and cryptography can be used to store and manner massive units of statistics quickly and efficiently while additionally stopping unauthorized access to touchy information.

Instituciones: Universidad Nacional San Luis Gonzaga; Universidad Autónoma de Ica