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ISSN 2063-5346
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A ROBUST AND SECURED ENCRYPTION SCHEME FOR BIG DATA SECURITY BASED ON HADOOP DISTRIBUTED FILE SYSTEM

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Chandra Shekhar, Dr. Manish Varshney
» doi: 10.31838/ecb/2023.12.s3.839

Abstract

The last decade is of data generation, online data availability and rapid usage of social media which leads to generation of big data consequent of that cyber assaults happened between years 2017 and 2022, ranging from ransom ware to crypto currency theft, data loss to supply chain attacks. According to the Identity Theft Research Center (ITRC), data breaches increased by 17% in 2021 compared to 2020. One of the most destructive contemporary breaches was an attack on Microsoft Exchange that resulted in multiple zero-day vulnerabilities and it was found the Proxy Logon issues in January which were rectified in March, originally exploited by Hafnium hacking organization. Harvard Business Review reported a 300% rise in number of cyber-attacks and the amount of money paid by firms in 2018. Hacker groups taking advantage of the remote work on web has weakened security measures. To ensure the communication more secure, cryptography is used to detect malicious third parties which are called as adversaries. The technique of encryption practices an algorithm along with a key (public or private) to translate a plaintext intake into a scrambled output (i.e. cipher text). The same plaintext is turned into the same decryption since the same key is used. The technique is considered safe if an adversary cannot decrypt the cipher text to determine the key or plaintext. Using numerous combinations of plaintext and cipher text, an attacker should be impossible to learn anything about a key The proposed MEAB has achieved a 0.58% reduction in encryption time compared to AES for text files, a 0.19% reduction compared to Blowfish for text files, a 3% reduction compared to AES for pictures, a 2.29% reduction compared to Blowfish for pictures, a 1.9% reduction compared to AES for pdfs, a 1.66% reduction compared to Blowfish for pdfs, and more. 6.10% less time is spent encrypting videos than Blowfish, and 6.7% less time is spent encrypting videos than AES. 3.94% faster encryption for text files as compared to AES, for word files, Blowfish encryption time was faster by 2.9%. The entropy and Hardening index is enhanced by 1.53% and 13% against Blowfish algorithm.

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