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Bockermann, C., Apel, M. and Meier, M. (2009) Learning SQL for Database Intrusion Detection Using Context-Sensitive Modelling. Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, Springer.

has been cited by the following article:

• TITLE: Detection of Sophisticated Network Enabled Threats via a Novel Micro-Proxy Architecture

  AUTHORS: Andrew Blyth

  KEYWORDS: Network Security; Firewalls; Proxies and Intrusion Detection

  JOURNAL NAME: Journal of Information Security, Vol.5 No.2, March 12, 2014

  ABSTRACT: With the increasing use of novel exploitation techniques in modern malicious software it can be argued that current intrusion detection and intrusion prevention systems are failing to keep pace. While some intrusion prevention systems have the capability to detect evasion techniques they all fail to detect novel unknown exploitation techniques. Traditional proxy approaches have failed to protect the universe of discourse that a network enabled service can be engaged in as they view all information flows of the same type in a uniform manner. In this paper we propose a micro-proxy architecture that utilizes reverse engineering techniques to identify a valid universe of discourse for a network service. This valid universe of discourse is then applied to validate legitimate transactions to a service. Thus in effect, the micro proxy implements a default deny policy via the analysis of the application level discourse.