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Nasseralfoghara, M., Hamidi, H. (2021). Web Covert Timing Channel Detection based on Entropy. Electronic and Cyber Defense, 8(3), 13-23.
M. Nasseralfoghara; H. R. Hamidi. "Web Covert Timing Channel Detection based on Entropy". Electronic and Cyber Defense, 8, 3, 2021, 13-23.
Nasseralfoghara, M., Hamidi, H. (2021). 'Web Covert Timing Channel Detection based on Entropy', Electronic and Cyber Defense, 8(3), pp. 13-23.
Nasseralfoghara, M., Hamidi, H. Web Covert Timing Channel Detection based on Entropy. Electronic and Cyber Defense, 2021; 8(3): 13-23.

Web Covert Timing Channel Detection based on Entropy

پدافند الکترونیکی و سایبری
Article 2, Volume 8, Issue 3 - Serial Number 31, November 2020, Pages 13-23    PDF (1.07 M)
Document Type: Original Article
Authors
M. Nasseralfoghara1; H. R. Hamidi* 2
1Computer Engineering Department, Imam Khomeini International University
2Imam-Khomeini International University, Faculty of Engineering and Technology, Computer Engineering Department
Receive Date: 06 May 2019,  Revise Date: 07 January 2020,  Accept Date: 19 January 2020 
Abstract
Regarding the general acceptance of the web, analyzing its weaknesses and vulnerabilities in order to find and face security attacks has become more urgent. In case there is a communication contrary to the system security       policies, a covert channel has been     created. The attacker can easily disclose information from the victim’s system with just one public access permission. Covert     timing channels, unlike covert storage channels, do not have memory storage and draw less attention. Different methods have been proposed for their identification, which generally benefit from the shape of traffic and the channel’s regularity. The applicative nature of HTTP protocol allows the creation of a covert timing channel based on different features (or different levels) of this protocol, which has not been             addressed in previous researches. In this article, the entropy-based detection method was designed and implemented. The attacker can adjust the amount of channel entropy by controlling measures such as changing the channel’s level or creating noise on the channel to hide from the analyst’s detection. As a result, the entropy threshold is not always constant for detection. By comparing the entropy from different levels of the channel and the analyst, we concluded that the analyst must investigate the traffic at all possible levels. We also illustrated that by making noise on the covert channel, although its capacity would decrease, but as the entropy has increased, the attacker would have more       difficulty in its detection.
 
Keywords
Information Security; Convert Channel; Timing Channel; WEB; Entropy
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