Guidance for Selecting Data Collection Mechanisms for Intrusion Detection

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Author(s): Ulf Larson (Ericsson AB, Sweden), Erland Jonsson (Chalmers University of Technology, Sweden)and Stefan Lindskog (Karlstad University, Sweden)
Copyright: 2015
Pages: 31
Source title: Handbook of Research on Emerging Developments in Data Privacy
Source Author(s)/Editor(s): Manish Gupta (State University of New York at Buffalo, USA)
DOI: 10.4018/978-1-4666-7381-6.ch016

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

This chapter aims at providing a clear and concise picture of data collection for intrusion detection. It provides a detailed explanation of generic data collection mechanism components and the interaction with the environment, from initial triggering to output of log data records. Taxonomies of mechanism characteristics and deployment considerations are provided and discussed. Furthermore, guidelines and hints for mechanism selection and deployment are provided. Finally, this chapter presents a set of strategies for determining what data to collect, and it also discusses some of the challenges in the field. An appendix providing a classification of 50 studied mechanisms is also provided. This chapter aims at assisting intrusion detection system developers, designers, and operators in selecting mechanisms for resource-efficient data collection.

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Guidance for Selecting Data Collection Mechanisms for Intrusion Detection

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