Transport layer protocols either reliable or unreliable are prone to packet losses. Data transmitted by these protocols are either encrypted or not. The encrypted or compressed traffics are sensitive to losses. Often packet losses lead to failure in extracting the encrypted messages. This paper evaluates the impact of those packet losses on transport layer protocols to the encrypted traffics. The NS-2 simulator is employed and some encryption algorithms are examined. As results, the percentage of successful decryption on TCP is higher than UDP. The higher the packet loss rates the lower the decryption rates. 3DES is more immune to packet losses than Rijndael and Arcfour. In average, it decrypted the encrypted messages 0.38% higher than Rijndael and 0.12% higher than Arcfour.
The rapid development of communication technology in wireless communication has led to an increase in technologies related to wireless communication. The WLAN (Wireless Local Area Network) network is one example of a network that continues to experience developments in the wireless communication technology. One of the WLAN network configurations is an ad hoc network. Different protocols, data transmission in an ad hoc WLAN will also experience differences in performance. This final project examines the use of three (2) transport protocols, namely TCP and UDP with their use in WLAN with ad hoc networks and the encryption decryption process to determine the percentage comparison of the success of packet delivery. To analyze the comparison of the three transport protocols on an ad hoc network, the Network Simulator 2 (NS-2) application which is integrated into the Ubuntu operating system and algorithms used such as arcfour, rijndael-192 and tripledes is used. The results showed that the percentage of successful data transmission on TCP was greater with an average of 99.318% on the arcfour algorithm, 99.185% on the rijndael-192 algorithm, 99.132% on the tripledes algorithm. While the percentage of success in sending data on UDP is smaller with an average of 70.711% on the arcfour algorithm, 63.971% on the rijndael-192 algorithm, 64.412% on the tripledes algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.