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Top > Intrusion Detection Systems > Research
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Research
ResearchIndex is a scientific literature digital library that aims to improve the dissemination and feedback of scientific literature, and to provide improvements in functionality, usability, availability, cost, comprehensiveness, efficiency, and timeliness.
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This directory is created automatically and some papers may be mislabeled. Only document within the
database are listed. The directory is intended to provide entry points for browsing the database and is not intended to be authoritative. Papers may not appear in
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Perdue University's clearinghouse for intrusion detection information. Includes overviews, policy, detection methods, and tools.
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This site is a listing of many of the internet resources
associated with Intrusion Detection. The list is divided into
sections to make finding information easier.
It would be great if all our computer systems were totally
secure but, unfortunately, they are not and will not be anytime
soon.
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Selected articles and papers related to intrusion detection research.
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Allen, J., Christie, A., Fithen, W., McHugh, J., Pickel, J., & Stoner, E. (1999). State of the practice of intrusion detection technologies. CMU/SEI Technical Report (CMU/SEI-99-TR-028) .
(2000). The base-rate fallacy and the difficulty of intrusion detection. ACM Transactions on Information and
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Research project that utilizes network attack variations to make more precise statements about the detection capabilities of an IDS.
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Masters Thesis Computer Science, Winter term
THOR: A Tool to Test Intrusion Detection Systems by Variations of
Intrusion Detection (ID) is the process of monitoring and collecting
system and network information in order to determine if an attack or
intrusion has occurred. The problem in ID is
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International Symposium on Recent Advances in Intrusion Detection. Held in conjunction with ESORICS 2004, September 15-17, 2004. The RAID International Symposium series is intended to advance the field of intrusion detection by promoting the exchange of ideas on a broad range of topics, bringing together leading experts from academia, government, and industry to discuss state-of-the-art intrusion detection technologies and issues from research and commercial perspectives.
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Seventh International Symposium on Recent Advances in Intrusion
Sophia Antipolis, French Riviera, France - September 15-17, 2004
Intrusion Detection and Society
Institut Eurécom, Sophia Antipolis, French Riviera, France
This symposium, the seventh in an annual series, brings together
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SRI International's EMERALD (Event Monitoring Enabling Responses to Anomalous Live Disturbances) research project is a distributed scalable tool suite for tracking malicious activity through and across large networks.
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Event Monitoring Enabling Responses to Anomalous Live Disturbances (EMERALD)
EMERALD represents state-of-the art in research and development of
systems and components for anomaly and misuse detection in computer
Scalable Network Surveillance
High-volume Event Analysis
Light-weight Distributed
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A case study/research paper providing detailed analysis of several anomalous network events to illustrate the techniques for examining alerts and logs generated by a network intrusion detection system.
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This paper provides a detailed analysis of several anomalous network events, and illustrates the techniques for examining alerts and logs generated by a network intrusion detection system.
Intrusion Detection Analysis: A Case Study This paper, written as a case study, provides a detailed analysis of several anomalous network events, and illustrates the techniques for examining alerts and logs generated by a network intrusion detection system. This document was submitted to
Intrusion Detection Analysis: A Case Study This paper, written as a case study, provides a detailed analysis of several anomalous network events, and illustrates the techniques for examining alerts and logs generated by a network intrusion detection system. This document was submitted to
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Research project focused on the development of high-performance data mining algorithms and tools that will provide support required to analyze the massive data sets generated by various processes that monitor computing and information systems.
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- M innesota IN trusion D etection S ystem
The overall objective of this research
is to develop high performance data mining algorithms and tools that will
provide support required to analyze the massive data sets generated by
various processes that monitor computing and information systems.
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Aims to develop protocols and application programming interfaces so that intrusion detection research projects can share information and resources and so that intrusion detection components can be reused in other systems.
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The Common Intrusion Detection Framework (CIDF) is an effort to
develop protocols and application programming interfaces so that
intrusion detection research projects can share information and
resources and so that intrusion detection components can be reused
This effort was started by Teresa
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Works on languages and tools for designing, building, and validating software systems - with a focus on threat detection and analysis. Includes details of projects and staff profiles.
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The Computer Security Group at UCSB
The Computer Security Group at UCSB works on tools and
techniques for designing, building, and validating secure
software systems. The group's research focus is on
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