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network intrusion detection system (29 results)
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- Network intrusion detection: Getting hooked up
- Network Taps are the best!We tried to use spanning ports on our core switches but since we only had two available SPAN ports, we could not provide both for the use of IDS. We needed to have a SPAN port available for packet analysis and other network needs.Also, some traffic...
- Discussion threads 2007-03-15
- Network intrusion detection: Getting hooked up
- After discussing Intrusion Detection Systems IDS in general, I wanted to take a closer look at Network Intrusion Detection Systems NIDS. A NIDS sits on a network and monitors traffic in real-time, looking for possible malicious activity. After filtering the traffic and checking it against various signatures, an event is...
- Blog posts 2007-03-13
- DOWNLOAD: Root out more than network intruders with Snort
- http://techrepublic.com.com/5138-1035-5874471.htmlAre you using Snort for network intrusion detection in your organization? How effective is it? [b]Do you have an alternative suggestion for NIDS?[/b]
- Discussion threads 2005-09-20
- Root out more than just network intruders with the flexibility of Snort
- Snort is a free and open source network intrusion detection system NIDS that runs on all modern operating systems including Windows and Linux. One of the main advantages of Snort is its flexibility with regard to rules and configuration and its ability to implement a policy-based intrusion detection system. In...
- Download resources 2005-09-20
- FPGA-Based SoC for Real-Time Network Intrusion Detection Using Counting Bloom Filters
- Computers face an ever increasing number of threats from hackers, viruses and other malware; effective Network Intrusion Detection NID before a threat affects end-user machines is critical for both financial and national security. As the number of threats and network speeds increase (over 1 gigabit/sec), users of conventional software based...
- White papers 2009-01-26
- Machine Learning for Network Intrusion Detection
- The field of network security has been growing by leaps and bounds over the past few decades. The laissez-faire attitude of the original network administrators has been replaced by an urgent and pressing need for constant monitoring and quick responses to not only known attacks, but to novel ones that...
- White papers 2009-12-15
- Network Intrusion Detection Using Naive Bayes
- With the tremendous growth of network-based services and sensitive information on networks, network security is getting more and more importance than ever. Intrusion poses a serious security risk in a network environment. The ever growing new intrusion types possesses a serious problem for their detection. The human labelling of the...
- White papers 2008-01-03
- Network Intrusion Detection Based on Rough Set and k-Nearest Neighbour
- Increasing numbers of interconnected networks to the internet have led to an increase in cyber attacks which necessitates the need for an effective intrusion detection system. In this paper, two machine learning techniques: Rough Set (LEM2 Algorithm) and k-Nearest Neighbour kNN are used for intrusion detection. Rough set is a...
- White papers 2008-06-01
- The Human Immune System and Network Intrusion Detection
- This paper reviews and assesses the analogy between the human immune system and network intrusion detection systems. The promising results from a growing number of proposed computer immune models for intrusion detection motivate this work. The paper begins by briefly introducing existing Intrusion Detection Systems (IDS's). A set of general...
- White papers 2009-01-01
- An Analysis of Network Scanning Traffic as It Relates to Scan-Detection in Network Intrusion Detection Systems
- Network Intrusion Detection is, in a modern network, a useful tool to detect a wide variety of malicious traffic. The ever present prevalence of scanning activity on the Internet is fair justification to warrant scan detection as a component of network intrusion detection. Whilst current systems are able to perform...
- White papers 2008-08-14
- Using Sonification to Teach Network Intrusion Detection: A Preliminary Usability Study
- Network intrusion detection, or NID the unauthorized perpetrations of people and computer viruses in a computer network is a complex topic to teach, because students have to study extensive amounts of data from network logs and identify intricate patterns of perpetrations, making these tasks visually tiring, among other problems. This...
- White papers 2007-05-15
- An Intrusion Detection Sensor for the NetVM Virtual Processor
- In the wide scenario of packet processing architectures, the development of ever sophisticated applications faces the challenge of finding a balance between different requirements: ever increasing performance, flexibility, and portability of the software across different platforms and hardware architectures. The Network Virtual Machine NetVM aims at responding to such defy...
- White papers 2008-12-11
- Correlation-Based Load Balancing for Network Intrusion Detection and Prevention Systems
- In large-scale enterprise networks, multiple network intrusion detection and prevention systems are used to provide high quality protections. In this context, keeping load evenly distributed among the systems is crucial. This is because even load distributions provide protection to the networks and improve the networks' quality of service. A challenging...
- White papers 2008-09-25
- A High-Performance Network Intrusion Detection System
- This paper presents a new approach for network intrusion detection based on concise specifications that characterize normal and abnormal network packet sequences. The specification language is geared for robust network intrusion detection by enforcing a strict type discipline via a combination of static and dynamic type checking. Unlike most previous...
- White papers 2008-01-01
- POSEIDON: A 2-Tier Anomaly-Based Network Intrusion Detection System
- Intrusion Detection Systems IDSs were introduced by Anderson and formalized later by Denning. Nowadays, there exist two main types of network intrusion detection methods: anomaly-based and signature-based. In signature-based methods, a characteristic trait of the intrusion is developed off-line, and then loaded in the intrusion database before the system can...
- White papers 2006-04-01
- A Reconfigurable Architecture for Network Intrusion Detection Using Principal Component Analysis
- This paper develops architecture for Principal Component Analysis PCA to be used as an outlier detection method for high-speed Network Intrusion Detection Systems NIDS. PCA is a common statistical method used in multivariate optimization problems in order to reduce the dimensionality of data while retaining a large fraction of the...
- White papers 2008-01-01
- PARNIDS: A Scalable Network Intrusion Detection Loadbalancer
- Network Intrusion Detection Systems NIDS are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can limit the ability of the system to detect intrusions. The PARNIDS parallel NIDS architecture overcomes this limitation by distributing network traffic load over an array of...
- White papers 2008-01-01
- A Study on Classification Techniques for Network Intrusion Detection
- Computer systems vulnerabilities such as software bugs are often exploited by malicious users to intrude into information systems. With the recent growth of the Internet such security limitations are becoming more and more pressing. One commonly used defense measure against such malicious attacks in the Internet is Intrusion Detection Systems...
- White papers 2006-02-24
- Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
- Most current network Intrusion Detection Systems IDSs employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically expensive to produce. Moreover, these methods have difficulty in detecting new types of attack. Using unsupervised anomaly detection techniques, however, the system can be trained...
- White papers 2007-01-01
- A Feature Classification Scheme for Network Intrusion Detection
- One of the most important phases of the IDS/IPS implementation identifies the set of features that the system is going to use. This paper presents a feature classification schema for network intrusion detection intended to provide a better understanding regarding the features that can be extracted from network packets. Furthermore,...
- White papers 2007-07-01
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