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Journal ArticleDOI

Testing Intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory

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TLDR
The purpose of this article is to attempt to identify the shortcomings of the Lincoln Lab effort in the hope that future efforts of this kind will be placed on a sounder footing.
Abstract
In 1998 and again in 1999, the Lincoln Laboratory of MIT conducted a comparative evaluation of intrusion detection systems (IDSs) developed under DARPA funding. While this evaluation represents a significant and monumental undertaking, there are a number of issues associated with its design and execution that remain unsettled. Some methodologies used in the evaluation are questionable and may have biased its results. One problem is that the evaluators have published relatively little concerning some of the more critical aspects of their work, such as validation of their test data. The appropriateness of the evaluation techniques used needs further investigation. The purpose of this article is to attempt to identify the shortcomings of the Lincoln Lab effort in the hope that future efforts of this kind will be placed on a sounder footing. Some of the problems that the article points out might well be resolved if the evaluators were to publish a detailed description of their procedures and the rationale that led to their adoption, but other problems would clearly remain./par>

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Citations
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Proceedings ArticleDOI

A detailed analysis of the KDD CUP 99 data set

TL;DR: A new data set is proposed, NSL-KDD, which consists of selected records of the complete KDD data set and does not suffer from any of mentioned shortcomings.
Proceedings ArticleDOI

Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

TL;DR: A reliable dataset is produced that contains benign and seven common attack network flows, which meets real world criteria and is publicly avaliable and evaluates the performance of a comprehensive set of network traffic features and machine learning algorithms to indicate the best set of features for detecting the certain attack categories.
Proceedings ArticleDOI

UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

TL;DR: Countering the unavailability of network benchmark data set challenges, this paper examines a UNSW-NB15 data set creation which has a hybrid of the real modern normal and the contemporary synthesized attack activities of the network traffic.
Journal ArticleDOI

An overview of anomaly detection techniques: Existing solutions and latest technological trends

TL;DR: This paper provides a comprehensive survey of anomaly detection systems and hybrid intrusion detection systems of the recent past and present and discusses recent technological trends in anomaly detection and identifies open problems and challenges in this area.
Proceedings ArticleDOI

Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

TL;DR: The main claim is that the task of finding attacks is fundamentally different from these other applications, making it significantly harder for the intrusion detection community to employ machine learning effectively.
References
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Journal ArticleDOI

Measuring the accuracy of diagnostic systems

John A. Swets
- 03 Jun 1988 - 
TL;DR: For diagnostic systems used to distinguish between two classes of events, analysis in terms of the "relative operating characteristic" of signal detection theory provides a precise and valid measure of diagnostic accuracy.
Proceedings Article

Bro: a system for detecting network intruders in real-time

TL;DR: Bro as mentioned in this paper is a stand-alone system for detecting network intruders in real-time by passively monitoring a network link over which the intruder's traffic transits, which emphasizes high-speed (FDDI-rate) monitoring, realtime notification, clear separation between mechanism and policy and extensibility.
Journal ArticleDOI

Bro: a system for detecting network intruders in real-time

TL;DR: An overview of the Bro system's design, which emphasizes high-speed (FDDI-rate) monitoring, real-time notification, clear separation between mechanism and policy, and extensibility, is given.

Insertion, Evasion, and Denial of Service: Eluding Network Intrusion Detection

TL;DR: Three classes of attacks which exploit fundamentally problems with the reliability of passive protocol analysis are defined--insertion, evasion and denial of service attacks--and how to apply these three types of attacks to IP and TCP protocol analysis is described.