Big Data and its Security Challenges

Bc. Mayank Jitendrabhai Modi

Master's thesis

Abstract:

In this study I have proposed work consisted of four entities including Trusted Center (TC), Data Owner (DO), Data User (DU), and Cloud Server (CS). The data stored in the cloud is always prone to attack mainly due to the anonymous, virtual, shared, replicated, multi-node storage, and execution. Unauthorized access or manipulation leads to data theft or data loss. Big Data outsourcing from data owners to the cloud is in three phases as follows: Authentication, Compression and Encryption. The volume of data in the globe is increasing with each day. The application of the internet, smartphones, and social networking sites has resulted in an increase in data. Big Data consists of data sources that are both vast and complicated. Petabytes and Exabytes are the most common data sizes. Regular protection and security processes are deficient and therefore unfit to adjust to the quick colossal measure of information in such a muddled registering climate because of the inborn information volume and qualities of Big Data, specifically speed, volume, and an assortment related with enormous scope public clouds and the Internet of Things (IoT). Large-scale information management and analysis tools that go beyond the capabilities of conventional data processing tools are referred to as Big Data analytics. Large Data design is distributive in nature, increasing to huge number of information and handling hubs. Among these a huge number of hubs, the information gets parcelled, imitated and dispersed for strong calculation, and in light of execution reasons, information is likewise portioned into classes. Highlights like auto-tiering, continuous handling and gushing of information have been significant patterns in large information examination. The review gives practical arrangements created from cutting edge innovations like information respectability, cryptography and validation, information examination, and blockchain, featuring their connected certifiable application for Big Data security and the issues they go up against. My analysis in this paper provides an example of how Big Data may be secured. This work would clear the way for future scholarly investigations into this basic area of information security.

Keywords

Big Data, Big Data Security, Big Data Security Challenges, Data Hacks, Data Theft, Big Data Analysis

Language used: English

Date on which the thesis was submitted / produced: 29. 11. 2022

Thesis defence

• Supervisor: Ing. Himesha Prabhakara Wijekoon

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / field:
Systems Engineering and Informatics / Informatics