Journal ArticleDOI
Review: Intrusion detection system: A comprehensive review
TLDR
Through the extensive survey and sophisticated organization, this work proposes the taxonomy to outline modern IDSs and tries to give a more elaborate image for a comprehensive review.About:
This article is published in Journal of Network and Computer Applications.The article was published on 2013-01-01. It has received 1102 citations till now. The article focuses on the topics: Intrusion detection system.read more
Citations
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Journal ArticleDOI
A survey of network anomaly detection techniques
TL;DR: This paper presents an in-depth analysis of four major categories of anomaly detection techniques which include classification, statistical, information theory and clustering and evaluates effectiveness of different categories of techniques.
Journal ArticleDOI
Survey of intrusion detection systems: techniques, datasets and challenges
TL;DR: A taxonomy of contemporary IDS is presented, a comprehensive review of notable recent works, and an overview of the datasets commonly used for evaluation purposes are presented, and evasion techniques used by attackers to avoid detection are presented.
Journal ArticleDOI
A survey of intrusion detection in Internet of Things
TL;DR: A survey of IDS research efforts for IoT is presented to identify leading trends, open issues, and future research possibilities, and classified the IDS proposed in the literature according to the following attributes: detection method, IDS placement strategy, security threat and validation strategy.
Journal ArticleDOI
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
TL;DR: This paper proposes a novel IDS called the hierarchical spatial-temporal features-based intrusion detection system (HAST-IDS), which first learns the low-level spatial features of network traffic using deep convolutional neural networks (CNNs) and then learns high-level temporal features using long short-term memory networks.
Journal ArticleDOI
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks
TL;DR: A novel model for intrusion detection based on two-layer dimension reduction and two-tier classification module, designed to detect malicious activities such as User to Root (U2R) and Remote to Local (R2L) attacks is presented.
References
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Journal ArticleDOI
An Intrusion-Detection Model
TL;DR: A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described, based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns of system usage.
Journal ArticleDOI
Efficient string matching: an aid to bibliographic search
TL;DR: A simple, efficient algorithm to locate all occurrences of any of a finite number of keywords in a string of text that has been used to improve the speed of a library bibliographic search program by a factor of 5 to 10.
Journal ArticleDOI
A fast string searching algorithm
TL;DR: The algorithm has the unusual property that, in most cases, not all of the first i.” in another string, are inspected.
Journal ArticleDOI
Anomaly-based network intrusion detection: Techniques, systems and challenges
TL;DR: The main challenges to be dealt with for the wide scale deployment of anomaly-based intrusion detectors, with special emphasis on assessment issues are outlined.
Proceedings Article
A Virtual Machine Introspection Based Architecture for Intrusion Detection.
Tal Garfinkel,Mendel Rosenblum +1 more
TL;DR: This paper presents an architecture that retains the visibility of a host-based IDS, but pulls the IDS outside of the host for greater attack resistance, achieved through the use of a virtual machine monitor.