A Survey of Intrusion Detection Systems Leveraging Host Data

Author:

Bridges Robert A.1,Glass-Vanderlan Tarrah R.1ORCID,Iannacone Michael D.1,Vincent Maria S.1,Chen Qian (Guenevere)2ORCID

Affiliation:

1. Cyber 8 Applied Data Analytics Division, Oak Ridge National Laboratory

2. Electrical 8 Computer Engineering, University of Texas, San Antonio

Abstract

This survey focuses on intrusion detection systems (IDS) that leverage host-based data sources for detecting attacks on enterprise network. The host-based IDS (HIDS) literature is organized by the input data source, presenting targeted sub-surveys of HIDS research leveraging system logs, audit data, Windows Registry, file systems, and program analysis. While system calls are generally included in audit data, several publicly available system call datasets have spawned a flurry of IDS research on this topic, which merits a separate section. To accommodate current researchers, a section giving descriptions of publicly available datasets is included, outlining their characteristics and shortcomings when used for IDS evaluation. Related surveys are organized and described. All sections are accompanied by tables concisely organizing the literature and datasets discussed. Finally, challenges, trends, and broader observations are throughout the survey and in the conclusion along with future directions of IDS research. Overall, this survey was designed to allow easy access to the diverse types of data available on a host for sensing intrusion, the progressions of research using each, and the accessible datasets for prototyping in the area.

Funder

U.S. Department of Energy

Intelligence Advanced Research Projects Activity

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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