EN
Performance Analysis of Encryption Algorithms in Named Pipe Communication for Linux Systems
Abstract
In modern computing environments, inter-process communication (IPC) plays a pivotal role in facilitating seamless interaction between software components. Named pipes, a form of IPC mechanism in Linux systems, offer a straightforward means of data exchange between processes. However, ensuring the confidentiality and integrity of data transmitted via named pipes is essential, particularly in environments where sensitive information is handled. This paper presents a comprehensive investigation into the performance characteristics of various encryption algorithms applied to named pipe communication within Linux systems. The efficiency of six encryption algorithms such as Caesar cipher, RSA, DES, AES-128, AES-192, and AES256 is examined in terms of their impact on data throughput, latency, and resource utilization within the named pipe communication. Through a series of systematic experiments, encompassing diverse datasets and transmission scenarios, the trade-offs between security and performance inherent in each encryption algorithm are analyzed. Our findings shed light on the relative strengths and weaknesses of different encryption techniques, providing valuable insights for system administrators and developers in selecting appropriate encryption methods based on specific application requirements and security considerations. This study contributes to the broader understanding of secure IPC mechanisms in Linux environments, offering a nuanced perspective on the interplay between encryption algorithms and system performance in the context of named pipe communication.
Keywords
References
- Karacali H. & Cebel E. & Donum N. (2024). Performance analysis of encryption algorithms in named pipe communication for Linux systems. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 27, 214-227.
Details
Primary Language
English
Subjects
Software Engineering (Other)
Journal Section
Conference Paper
Early Pub Date
July 19, 2024
Publication Date
July 1, 2024
Submission Date
January 29, 2024
Acceptance Date
April 7, 2024
Published in Issue
Year 2024 Volume: 27