Nate: N etwork analysis of a nomalous t raffic e vents, a low-cost approach
C Taylor, J Alves-Foss - Proceedings of the 2001 workshop on New …, 2001 - dl.acm.org
A new approach to network intrusion detection is needed to solve the monitoring problems
of high volume network data and the time constraints for Intrusion Detection System (IDS) …
of high volume network data and the time constraints for Intrusion Detection System (IDS) …
An empirical analysis of nate: Network analysis of anomalous traffic events
C Taylor, J Alves-Foss - Proceedings of the 2002 workshop on New …, 2002 - dl.acm.org
This paper presents results of an empirical analysis of NATE (Network Analysis of
Anomalous Traffic Events), a lightweight, anomaly based intrusion detection tool. Previous …
Anomalous Traffic Events), a lightweight, anomaly based intrusion detection tool. Previous …
[PDF][PDF] Survey of current network intrusion detection techniques
S Kumar - Washington Univ. in St. Louis, 2007 - cse.wustl.edu
The importance of network security has grown tremendously and a number of devices have
been introduced to improve the security of a network. Network intrusion detection systems …
been introduced to improve the security of a network. Network intrusion detection systems …
An analysis of the 1999 DARPA/Lincoln Laboratory evaluation data for network anomaly detection
MV Mahoney, PK Chan - International Workshop on Recent Advances in …, 2003 - Springer
Abstract The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set
is the most widely used public benchmark for testing intrusion detection systems. Our …
is the most widely used public benchmark for testing intrusion detection systems. Our …
[PDF][PDF] Detection of novel network attacks using data mining
This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a
suite of data mining techniques to automatically detect attacks against computer networks …
suite of data mining techniques to automatically detect attacks against computer networks …
[PDF][PDF] Detection and summarization of novel network attacks using data mining
This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a
suite of data mining techniques to automatically detect attacks against computer networks …
suite of data mining techniques to automatically detect attacks against computer networks …
Toward a reliable anomaly-based intrusion detection in real-world environments
A popular approach for detecting network intrusion attempts is to monitor the network traffic
for anomalies. Extensive research effort has been invested in anomaly-based network …
for anomalies. Extensive research effort has been invested in anomaly-based network …
A scalable, efficient and informative approach for anomaly‐based intrusion detection systems: theory and practice
In this paper, we present the design and implementation of a new approach for anomaly
detection and classification over high speed networks. The proposed approach is based first …
detection and classification over high speed networks. The proposed approach is based first …
Network intrusion detection
B Mukherjee, LT Heberlein, KN Levitt - IEEE network, 1994 - ieeexplore.ieee.org
Intrusion detection is a new, retrofit approach for providing a sense of security in existing
computers and data networks, while allowing them to operate in their current" open" mode …
computers and data networks, while allowing them to operate in their current" open" mode …
Survey on incremental approaches for network anomaly detection
As the communication industry has connected distant corners of the globe using advances
in network technology, intruders or attackers have also increased attacks on networking …
in network technology, intruders or attackers have also increased attacks on networking …