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The Intelligent Securely Storing Data in Distributed Systems for Big Data

  • Yeshwantrao Chavan College of Engineering
  • Visvesvaraya Technological University
  • Autonomous University of Ica
  • RNB Global University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1662-1667
Number of pages6
ISBN (Electronic)9798350357769
DOIs
StatePublished - 2023
Event2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 - Greater Noida, India
Duration: 19 Dec 2023 → 23 Dec 2023

Publication series

Name2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

Conference

Conference2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
Country/TerritoryIndia
CityGreater Noida
Period19/12/23 → 23/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Schemes
  • Signature
  • data
  • limit
  • techniques

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