Analysis of Encryption Techniques to Improve Data Security on Computer Networks
Keywords:
Encryption, Data Security, AES, RSA, Computer Networks.Abstract
Data security in computer networks is a crucial issue in the modern digital era, where increasing data volume and sensitivity demand strong protection systems against cyber threats. Encryption is the primary technique for maintaining the confidentiality, integrity, and authentication of data transmitted over open networks. However, the different characteristics of each encryption algorithm affect the efficiency, performance, and overall security level of the system. This study aims to analyze and compare the performance of several encryption techniques, namely AES, RSA, and Blowfish, in improving data security on computer networks, as well as determining the most optimal algorithm in terms of speed, efficiency, and resistance to attacks. This study uses a quantitative experimental approach with direct testing of the three algorithms using datasets of 1 MB, 10 MB, and 100 MB. The testing was conducted using the Python programming language with measurement parameters of encryption-decryption time, throughput, and CPU and memory usage. The results show that AES has the best performance with the fastest encryption time (0.21–17.6 seconds) and the highest throughput (up to 5.68 MB/s), as well as the highest resource efficiency. Blowfish shows moderate results, while RSA requires significantly more time and resources. This study concludes that AES is the most effective and efficient algorithm for modern network systems, while RSA is more suitable for key exchange and authentication. Further studies are recommended to develop post-quantum cryptography-based encryption to address future quantum computing threats.
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