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The Science of Intrusion Detection System: Attack Identification
White Paper Among the many vendors of intrusion detection systems (IDS), there is marked variation on what constitutes a network intrusion. This paper discusses the pros and cons of the various intrusion detection methodologies and explains the Cisco approach... [02 Sep 2008]
An Introduction to Intrusion Detection and Assessment
White Paper Intrusion-detection is the logical complement to network firewalls, extending the security management capabilities of system administrators to include security audit, monitoring, attack recognition, and response. [02 Sep 2008]
Characterizing the Performance of Network Intrusion Detection Sensors
White Paper Network Intrusion Detection Systems (NIDS) are becoming an important tool for protecting critical information and infrastructure. However, even a high-quality NIDS algorithm is not effective if its processing cost is too high, since the resulting... [10 Jul 2008]
Neural Networks in Intrusion Detection Systems
White Paper For this purpose, Intrusion Detection Systems (IDS) were designed. Because no system can be absolutely secure, the timely and accurate detection of intrusions is necessary. However, these techniques are less successful when attack characteristics... [10 Jul 2008]
Network Intrusion Detection & Active-Response System
White Paper A particularly notorious attack is the Denial of Service (DoS) attack on data communication networks, which has the potential of crippling government networks and posing great threats to national safety and security, or business networks causing... [10 Jul 2008]
Automatic Backdoor Analysis With a Network Intrusion Detection System and an Integrated Service Checker
White Paper This paper examines how a network intrusion detection system can be used as a trigger for service checking and reporting. A sample data over the Christmas period of year 2002 is analyzed as an example and detection of unauthorized SSH servers used... [10 Jul 2008]
CS424 Network Security: Bayesian Network Intrusion Detection (BNIDS)
White Paper Many Network Intrusion Detection Systems (NIDS) exist, but they can be easily overwhelmed or bypassed. Additionally, current NIDS rely on specific cues or deviation detection from a valid path in finite state machine that models the system behavior... [10 Jul 2008]
Network Intrusion Detection & Response System
White Paper This paper review the state-of-the-art in network intrusion detection systems and then propose a strategy of using network traffic profiles as the foundation for detecting and responding to network denial-of-service attack. [10 Jul 2008]
Protocol Analysis in Intrusion Detection Using Decision Tree
White Paper Network based intrusion detection are the most deployed Intrusion Detection System (IDS). They frequently rely on signature matching detection method and focus on the security of low level network protocols. [09 Jul 2008]
Designing and Implementing a Family of Intrusion Detection Systems
White Paper Currently, intrusion detection systems and the corresponding attack modeling languages are developed following an ad hoc approach to match the characteristics of specific target environments. Intrusion detection systems are distributed applications... [09 Jul 2008]
Soft Computing Models for Network Intrusion Detection Systems
White Paper Among the several soft computing paradigms, it investigated fuzzy rule-based classifiers, decision trees, support vector machines, linear genetic programming and an ensemble method to model fast and efficient intrusion detection systems. [09 Jul 2008]
Fuzzy Intrusion Detection System
White Paper A framework for Intrusion Detection System (IDS) over TCP/IP network is proposed. The basic intent of a DoS attack either overwhelms the resources allocated by a networked device to a particular service in order to prevent its use or crashes a... [09 Jul 2008]
Soft Computing Models for Network Intrusion Detection Systems
White Paper Among the several soft computing paradigms, the paper investigated fuzzy rule-based classifiers, decision trees, support vector machines, linear genetic programming and an ensemble method to model fast and efficient intrusion detection systems. [09 Jul 2008]
A Hierarchical Anomaly Network Intrusion Detection System Using Neural Network Classification
White Paper This paper introduces a hierarchical anomaly network intrusion detection system, which is capable of detecting network - based attacks using statistical preprocessing models and neural network classification. [09 Jul 2008]
Evaluating Intrusion Detection Systems Without Attacking Your Friends: The 1998 DARPA Intrusion Detection Evaluation
White Paper To meet the needs of researchers, developers, and ultimately system administrators the first objective, repeatable, and realistic measurement of intrusion detection system performance is developed. Attack types ranged from old, well-known attacks... [09 Jul 2008]
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