Cite this DOI

Narla, S. (2022). BIG DATA PRIVACY AND SECURITY USING CONTINUOUS DATA PROTECTION DATA OBLIVIOUSNESS METHODOLOGIES. *Journal of Science & Technology*, *07*(02), 423–436. https://doi.org/10.46243/jst.2022.v7.i02.pp423-436

@article{narla2022data,
  author    = {Narla, Swapna},
  title     = {{BIG DATA PRIVACY AND SECURITY USING CONTINUOUS DATA PROTECTION DATA OBLIVIOUSNESS METHODOLOGIES}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  volume    = {07},
  number    = {02},
  pages     = {423--436},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i02.pp423-436},
  url       = {https://doi.org/10.46243/jst.2022.v7.i02.pp423-436},
  language  = {en},
  abstract  = {Large databases must be protected from breaches, unauthorised access, and misuse in the big data era. With a focus on Continuous Data Protection (CDP) and Data Obliviousness, this study investigates cutting-edge techniques for improving data security and privacy. By guaranteeing real-time data backups, CDP lowers the possibility of data loss due to cyberattacks or system malfunctions. Data Obliviousness processes data securely without disclosing sensitive information by utilising methods including homomorphic encryption, secure multiparty computation (SMC), and differential privacy. When these strategies are combined in big data environments, a strong security framework is produced, regulatory compliance with the likes of CCPA and GDPR is guaranteed, and cyber threat resistance is improved.}
}

TY  - JOUR
TI  - BIG DATA PRIVACY AND SECURITY USING CONTINUOUS DATA PROTECTION DATA OBLIVIOUSNESS METHODOLOGIES
AU  - Narla, Swapna
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022///
VL  - 07
IS  - 02
SP  - 423
EP  - 436
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Large databases must be protected from breaches, unauthorised access, and misuse in the big data era. With a focus on Continuous Data Protection (CDP) and Data Obliviousness, this study investigates cutting-edge techniques for improving data security and privacy. By guaranteeing real-time data backups, CDP lowers the possibility of data loss due to cyberattacks or system malfunctions. Data Obliviousness processes data securely without disclosing sensitive information by utilising methods including homomorphic encryption, secure multiparty computation (SMC), and differential privacy. When these strategies are combined in big data environments, a strong security framework is produced, regulatory compliance with the likes of CCPA and GDPR is guaranteed, and cyber threat resistance is improved.
DO  - 10.46243/jst.2022.v7.i02.pp423-436
UR  - https://doi.org/10.46243/jst.2022.v7.i02.pp423-436
ER  -

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    "title": "BIG DATA PRIVACY AND SECURITY USING CONTINUOUS DATA PROTECTION DATA OBLIVIOUSNESS METHODOLOGIES",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
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    "language": "en",
    "abstract": "Large databases must be protected from breaches, unauthorised access, and misuse in the big data era. With a focus on Continuous Data Protection (CDP) and Data Obliviousness, this study investigates cutting-edge techniques for improving data security and privacy. By guaranteeing real-time data backups, CDP lowers the possibility of data loss due to cyberattacks or system malfunctions. Data Obliviousness processes data securely without disclosing sensitive information by utilising methods including homomorphic encryption, secure multiparty computation (SMC), and differential privacy. When these strategies are combined in big data environments, a strong security framework is produced, regulatory compliance with the likes of CCPA and GDPR is guaranteed, and cyber threat resistance is improved.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i02.pp423-436 gives all four in one JSON answer.