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Web Interface for Network Anomaly Detection System
Sládek, Petr ; Kováčik, Michal (referee) ; Bartoš, Václav (advisor)
The goal of this work is to create a web interface for network anomaly detection system called HostStats. Its mission is to enable users to effectively work with data and statistics provided by the system. Web interface works as a plugin to NfSen as a completely independent web applications. Implementation took place in PHP using the Nette Framework, HTML5, CSS3, and JavaScript using the jQuery library.
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Network Protection Using NetFlow Data
Hlavatý, Ivo ; Žádník, Martin (referee) ; Tobola, Jiří (advisor)
This document focuses on Cisco Netflow technology and its possible usage in monitoring networks and detecting network anomalies. Based on the analysis of attacks at the network and transport layer is designed an application for selected security threats which detects its presence. The implementation section provides a system for predicting network traffic and related detecting deviations from the baseline on the basis of statistical data. Use of NetFlow technolgy is demonstrated on examples where the results of other current security and monitoring techniques have failed or did not provide sufficiently good results.
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Network Anomaly Detection
Lieskovan, Tomáš ; Blažek, Petr (referee) ; Hajný, Jan (advisor)
This semester project presents an analysis of network traffic and detection of anomalies in network traffic by several various means. In the first part of the paper there is an explanation of the methods aiming at denial of service. Then in the second part an implementation of protection by means of selected solutions is presented. The intent is to compare these means which are supposed to detect cyber attacks aiming at denial of service. Another intent is to choose the best solutions from the categories of open-source and commercial solutions. The target of the master thesis was to work out a comparison between actual solutions for detection of DoS and DDoS attacks.
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Network Anomaly Detection
Lieskovan, Tomáš ; Blažek, Petr (referee) ; Hajný, Jan (advisor)
This semester project presents an analysis of network traffic and detection of anomalies in network traffic by several various means. In the first part of the paper there is an explanation of the methods aiming at denial of service. Then in the second part an implementation of protection by means of selected solutions is presented. The intent is to compare these means which are supposed to detect cyber attacks aiming at denial of service. Another intent is to choose the best solutions from the categories of open-source and commercial solutions. The target of the master thesis was to work out a comparison between actual solutions for detection of DoS and DDoS attacks.
|
|
|
Web Interface for Network Anomaly Detection System
Sládek, Petr ; Kováčik, Michal (referee) ; Bartoš, Václav (advisor)
The goal of this work is to create a web interface for network anomaly detection system called HostStats. Its mission is to enable users to effectively work with data and statistics provided by the system. Web interface works as a plugin to NfSen as a completely independent web applications. Implementation took place in PHP using the Nette Framework, HTML5, CSS3, and JavaScript using the jQuery library.
|
|
|
Network Protection Using NetFlow Data
Hlavatý, Ivo ; Žádník, Martin (referee) ; Tobola, Jiří (advisor)
This document focuses on Cisco Netflow technology and its possible usage in monitoring networks and detecting network anomalies. Based on the analysis of attacks at the network and transport layer is designed an application for selected security threats which detects its presence. The implementation section provides a system for predicting network traffic and related detecting deviations from the baseline on the basis of statistical data. Use of NetFlow technolgy is demonstrated on examples where the results of other current security and monitoring techniques have failed or did not provide sufficiently good results.
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