Evaluation of Confidentiality and Data Integrity Based on User Session for IoT Environment

Abstract

Confidentiality and data integrity are two important security services that are provided by the most popular VPN protocols such IPsec and SSL/TLS. It is a well-known fact that security comes at the cost of performance, and performance is affected by the cryptographic algorithms and their execution. In this study, confidentiality and data integrity processes were implemented using client--server Java applications in a real LAN to assess their performance based on different encryptions methods. The execution time of data encryption, data decryption, and data integrity verification was measured and total session times were computed for the following encryption algorithms AES, Blowfish, 3DES, RC2, MD5, and SHA-1. The observation results have been analyzed and the performance of these encryption algorithms and digest ciphers was compared, interpreted, and outlined in terms of total session time and different security parameters (data integrity, encryption, decryption, and data integrity verification).