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Research Article

Parallel Processing in Hybrid Encryption Using AES and RSA

Open Access Peer Reviewed

Authors

  • Denny Santhosh1
  • Kripa Shibu2
  • Mirin Mathew3
  • R Gayathry Krishna4
  • Jinu Mathai5

1234 B. Tech, Department of Computer Science, St. Thomas College of Engineering and Technology (STCET), Chengannur, Kerala, India. 5Assistant Professor, Department of Computer Science(AI&ML), St. Thomas College of Engineering and Technology(STCET), Chengannur, Kerala, India.

Article Information

DOI
No DOI
Published Online
May-August 2024
Pages
01-04
Article Type
Research Article
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No DOI available for cross-reference

Abstract

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In the realm of information security, the demand for robust encryption techniques has never been greater. This project delves into the integration of parallel processing techniques to enhance the efficiency and security of hybrid encryption, combining the strengths of Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) algorithms. The primary objective of this research is to develop a novel approach that leverages parallel processing to accelerate the encryption and decryption processes while maintaining a high level of security. AES is known for its speed and symmetric key encryption strength, while RSA excels in asymmetric key management. By synergizing these two cryptographic methods and harnessing the power of parallelization, this project aims to address the computational demands of modern encryption. Throughout this study, we will explore various parallelization strategies, including multi-threading, and distributed computing, to optimize the encryption and decryption phases. The performance gains achieved through parallel processing will be evaluated against traditional sequential encryption methods, demonstrating the practicality and advantages of this hybrid approach. Furthermore, the security aspects of the proposed hybrid encryption will be thoroughly examined, ensuring that parallel processing does not compromise the confidentiality and integrity of encrypted data. The project will also investigate key management, key distribution, and the scalability of parallelized hybrid encryption to accommodate diverse use cases and applications.

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