A Closer Look at Intrusion Detection System for Web Applications
Intrusion Detection System (IDS) acts as a defensive tool to detect the security attacks on the web. IDS is a known methodology for detecting network-based attacks but is still immature in monitoring and identifying web-based application attacks. The objective of this research paper is to present a...
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Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2018/9601357 |
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doaj-00331869b32040feb8ed872b8420f2b72020-11-24T23:54:49ZengHindawi-WileySecurity and Communication Networks1939-01141939-01222018-01-01201810.1155/2018/96013579601357A Closer Look at Intrusion Detection System for Web ApplicationsNancy Agarwal0Syed Zeeshan Hussain1Department of Computer Science, Jamia Millia Islamia, New Delhi, IndiaDepartment of Computer Science, Jamia Millia Islamia, New Delhi, IndiaIntrusion Detection System (IDS) acts as a defensive tool to detect the security attacks on the web. IDS is a known methodology for detecting network-based attacks but is still immature in monitoring and identifying web-based application attacks. The objective of this research paper is to present a design methodology for efficient IDS with respect to web applications. In this paper, we present several specific aspects which make it challenging for an IDS to monitor and detect web attacks. The article also provides a comprehensive overview of the existing detection systems exclusively designed to observe web traffic. Furthermore, we identify various dimensions for comparing the IDS from different perspectives based on their design and functionalities. We also propose a conceptual framework of a web IDS with a prevention mechanism to offer systematic guidance for the implementation of the system. We compare its features with five existing detection systems, namely, AppSensor, PHPIDS, ModSecurity, Shadow Daemon, and AQTRONIX WebKnight. This paper will highly facilitate the interest groups with the cutting-edge information to understand the stronger and weaker sections of the domain and provide a firm foundation for developing an intelligent and efficient system.http://dx.doi.org/10.1155/2018/9601357 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nancy Agarwal Syed Zeeshan Hussain |
spellingShingle |
Nancy Agarwal Syed Zeeshan Hussain A Closer Look at Intrusion Detection System for Web Applications Security and Communication Networks |
author_facet |
Nancy Agarwal Syed Zeeshan Hussain |
author_sort |
Nancy Agarwal |
title |
A Closer Look at Intrusion Detection System for Web Applications |
title_short |
A Closer Look at Intrusion Detection System for Web Applications |
title_full |
A Closer Look at Intrusion Detection System for Web Applications |
title_fullStr |
A Closer Look at Intrusion Detection System for Web Applications |
title_full_unstemmed |
A Closer Look at Intrusion Detection System for Web Applications |
title_sort |
closer look at intrusion detection system for web applications |
publisher |
Hindawi-Wiley |
series |
Security and Communication Networks |
issn |
1939-0114 1939-0122 |
publishDate |
2018-01-01 |
description |
Intrusion Detection System (IDS) acts as a defensive tool to detect the security attacks on the web. IDS is a known methodology for detecting network-based attacks but is still immature in monitoring and identifying web-based application attacks. The objective of this research paper is to present a design methodology for efficient IDS with respect to web applications. In this paper, we present several specific aspects which make it challenging for an IDS to monitor and detect web attacks. The article also provides a comprehensive overview of the existing detection systems exclusively designed to observe web traffic. Furthermore, we identify various dimensions for comparing the IDS from different perspectives based on their design and functionalities. We also propose a conceptual framework of a web IDS with a prevention mechanism to offer systematic guidance for the implementation of the system. We compare its features with five existing detection systems, namely, AppSensor, PHPIDS, ModSecurity, Shadow Daemon, and AQTRONIX WebKnight. This paper will highly facilitate the interest groups with the cutting-edge information to understand the stronger and weaker sections of the domain and provide a firm foundation for developing an intelligent and efficient system. |
url |
http://dx.doi.org/10.1155/2018/9601357 |
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