DocumentCode :
2486664
Title :
Detecting attacks against data in web applications
Author :
Ludinard, Romaric ; Totel, Eric ; Tronel, Frédéric ; Nicomette, Vincent ; Kaâniche, Mohamed ; Alata, Éric ; Akrout, Rim ; Bachy, Yann
Author_Institution :
Supelec, Cesson-Sevigné, France
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
1
Lastpage :
8
Abstract :
RRABIDS (Ruby on Rails Anomaly Based Intrusion Detection System) is an application level intrusion detection system for applications implemented with the Ruby on Rails framework. It is aimed at detecting attacks against data in the context of web applications. This anomaly based IDS focuses on the modeling of the application profile in the absence of attacks (called normal profile) using invariants. These invariants are discovered during a learning phase. Then, they are used to instrument the web application at source code level, so that a deviation from the normal profile can be detected at run-time. This paper illustrates on simple examples how the approach detects well known categories of web attacks that involve a state violation of the application, such as SQL injections. Finally, an assessment phase is performed to evaluate the accuracy of the detection provided by the proposed approach.
Keywords :
Internet; SQL; learning (artificial intelligence); public domain software; security of data; RRABIDS; Ruby on Rails anomaly-based intrusion detection system; SQL injections; Web applications; Web attack detection; anomaly-based IDS; application level intrusion detection system; application profile; application state violation; assessment phase; invariant constraints; learning phase; normal profile; source code level; Context; Electronic mail; Indexes; Intrusion detection; Radiation detectors; Rails;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Risk and Security of Internet and Systems (CRiSIS), 2012 7th International Conference on
Conference_Location :
Cork
Print_ISBN :
978-1-4673-3087-9
Electronic_ISBN :
978-1-4673-3088-6
Type :
conf
DOI :
10.1109/CRISIS.2012.6378943
Filename :
6378943
Link To Document :
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