Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4568
Title: WiP: Slow Rate HTTP Attack Detection with Behavioral Parameters
Authors: Sood, Shaurya
Hubballi, Neminath
Keywords: Denial-of-service attack;Hypertext systems;Application layer attack;Application layers;Attack detection;Behavioral parameters;Denial of Service;Denialof- service attacks;Detection methods;Protocol attacks;Slow rate denial of service;Web servers;HTTP
Issue Date: 2021
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Sood, S., Saikia, M., & Hubballi, N. (2021). WiP: Slow rate HTTP attack detection with Behavioral parameters doi:10.1007/978-3-030-92571-0_2
Abstract: Hypertext Transfer Protocol (HTTP) is vulnerable to slow rate Denial of Service (DoS) attacks. Here an adversary deliberately reads and sends data slowly thereby prolonging the connection duration. Multiple such slow connections will cripple the web server and prevent servicing legitimate requests. The simplest detection methods which use x number of malicious requests in y window period can be easily evaded. In this paper, we identify few behavioral parameters whose values change when such attacks are launched. We also identify the relationship between these parameters by estimating the correlation between them. Using these parameters and their correlation, we describe a detection method. In this detection method, evaluation is done based on the number of messages sent to prolong the connection. A very high number of such messages is a direct indication of an attack. When the number of such messages are in a range below this threshold, such intervals are verified with other behavioral parameters for detecting attacks. This two stage detection method will make the evasion harder for an adversary. We evaluate the proposed method with experiments done in a testbed and a live web sever and show that it has good detection performance. © 2021, Springer Nature Switzerland AG.
URI: https://doi.org/10.1007/978-3-030-92571-0_2
https://dspace.iiti.ac.in/handle/123456789/4568
ISBN: 9783030925703
ISSN: 0302-9743
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: