ENHANCING APPROACH USING HYBRID PAILLER AND RSA FOR INFORMATION SECURITY IN BIGDATA

Author:

ABDALWAHID Shadan Mohammed Jihad,YOUSIF Raghad Zuhair,KAREEM Shahab Wahhab

Abstract

The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud. This fact motivates the need for a plat¬form which can handle this problem. Hadoop is a deployed platform proposed to overcome this big data problem which often uses MapReduce architecture to process vast amounts of data of the cloud system. Hadoop has no strategy to assure the safety and confidentiality of the files saved inside the Hadoop distributed File system (HDFS). In the cloud, the protection of sensitive data is a critical issue in which data encryption schemes plays avital rule. This research proposes a hybrid system between two well-known asymmetric key cryptosystems (RSA, and Paillier) to encrypt the files stored in HDFS. Thus before saving data in HDFS, the proposed cryptosystem is utilized for encrypting the data. Each user of the cloud might upload files in two ways, non-safe or secure. The hybrid system shows higher computational complexity and less latency in comparison to the RSA cryptosystem alone. 

Publisher

Politechnika Lubelska

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Economics, Econometrics and Finance (miscellaneous),Mechanical Engineering,Biomedical Engineering,Information Systems,Control and Systems Engineering

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1. RSA and Elliptic Curve Encryption System;International Journal of Information Security and Privacy;2024-03-20

2. Hybrid homomorphic‐asymmetric lightweight cryptosystem for securing smart devices: A review;Transactions on Emerging Telecommunications Technologies;2023-12-11

3. Information security for big data using the NTRUEncrypt method;Measurement: Sensors;2023-06

4. A Conjunctional Approach for Enhanced and Extended Security in Big data Environment;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

5. Machine learning algorithms in Bigdata Analysis and its applications: A review;2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2022-06-09

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