A New Automatic Intrusion Response Taxonomy and Its Application

Wang, Huiqiang; Wang, Gaofei; Lan, Ying; Wang, Ke; Liu, Daxin

doi:10.1007/11610496_139

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…However, identifying an intrusion is just half the battle, knowing how to respond is equally essential. Once a suspicious activity has been detected, it is desirable to have an automated resource capable of taking appropriate steps to mitigate the damage caused by the attack [96]. The alert description dimension shows that the researchers also need to pay attention to the IDS which provides the context of the generated alerts.…”

Section: Comparison Of Idsmentioning

confidence: 99%

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A Closer Look at Intrusion Detection System for Web Applications

Agarwal

Hussain

2018

Security and Communication Networks

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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.

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Section: Comparison Of Idsmentioning

confidence: 99%

“…automated resource capable of taking appropriate steps to mitigate the damage caused by the attack [96]. The alert description dimension shows that the researchers also need to pay attention to the IDS which provides the context of the generated alerts.…”

Section: Fig1 Intrusion Detection System Dimensionsmentioning

confidence: 99%