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Network Attack Analysis Using Honeypots
Galetka, Josef ; Chmelař, Petr (referee) ; Drozd, Michal (advisor)
This text deals with computer network security using honeypot technology, as a tool of intentional trap for attackers. It closely describes basic thoughts, together with advantages and disadvantages of this concept. The main aim is a low interaction honeypot Honeyd, its functionality and possible extensional features. As a practical part of the text there is a description of principles of implementation Honeyd service scripts, which are represented as a simulation of behavior of computer worm Conficker. Further it describes creation of automated script used for analysis and processing of gathered data, captured during actual deployment of Honeyd in Internet network.
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Automated Development of Network Attack Detectors
Huták, Lukáš ; Kováčik, Michal (referee) ; Žádník, Martin (advisor)
The thesis is focused on automated development of network attack detectors. It describes a design of patterns developed for normal and offensive behaviors based on monitoring network traffic of selected services. Patterns are represented by statistics with a focus on suitable metrics. Using machine learning algorithms attack detectors are created from behavioral patterns. Finally, a module was implemented for Nemea system in C/C++ programming language based on the proposal.
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Network Attack Analysis Using Honeypots
Galetka, Josef ; Chmelař, Petr (referee) ; Drozd, Michal (advisor)
This text deals with computer network security using honeypot technology, as a tool of intentional trap for attackers. It closely describes basic thoughts, together with advantages and disadvantages of this concept. The main aim is a low interaction honeypot Honeyd, its functionality and possible extensional features. As a practical part of the text there is a description of principles of implementation Honeyd service scripts, which are represented as a simulation of behavior of computer worm Conficker. Further it describes creation of automated script used for analysis and processing of gathered data, captured during actual deployment of Honeyd in Internet network.
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|
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Automated Development of Network Attack Detectors
Huták, Lukáš ; Kováčik, Michal (referee) ; Žádník, Martin (advisor)
The thesis is focused on automated development of network attack detectors. It describes a design of patterns developed for normal and offensive behaviors based on monitoring network traffic of selected services. Patterns are represented by statistics with a focus on suitable metrics. Using machine learning algorithms attack detectors are created from behavioral patterns. Finally, a module was implemented for Nemea system in C/C++ programming language based on the proposal.
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