Implementing cyber security policy for Big Data system

Babu, D. Raghunath Kumar and Balakrishna, R. (2022) Implementing cyber security policy for Big Data system. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

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Abstract

Industries realize the benefits of Big Data as information is crucial to their normal work, but new problems exist as a result of previous techniques. These issues are associated not only to the 3Vs of Deep Learning, but to control and confidentiality, as is the case regarding Information Technology. Protection becomes essential in Massive Datasets, but alas, privacy concerns happen as Big Data is not planned without good security. Even so, leading to the varied settings that a Big Data contains, this function is hard. It’s really important and provides a central database. A broad view becomes a way to fix the problem, as well as a Reference Architecture (RA) is a greater abstract of a structure which can be useful in the execution of various systems throughout this context. Numerous efforts, including those from IBM, ORACLE, NIST, and ISO, are being implemented that acquire a RA for Data Analytics, and neither of them will have a specific data security. It really is generally agreed that significant parameters to fix a problem is a smart option. accusations and make life simpler to establish safety needs RA is a good starting point while interacting with some of these kinds of attacks, but RAs could then be turned through Security Reference Architectures throughout this direction. SRAs are brief leasing contracts. A SRA with Cloud Computing is specified in the present article used Object model models also trying to make Data Analysis implementations further safe. Facilitating that analysis for cyber security in needed to shield the actual Deep Learning Information management.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Database
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 13 Sep 2024 10:24
Last Modified: 13 Sep 2024 10:24
URI: https://ir.vistas.ac.in/id/eprint/5915

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