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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Detection of Harmfulness of Communication Partners and Their Networks
 Kučera, Rostislav ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
With the growing dependence of the population on electronic devices, the risk of data loss or misuse also increases. As the number of attacks in computer networks rises, systems for detecting malicious traffic become more important. The goal of this work is a theoretical analysis and implementation of modules for detecting malicious computer communication using machine learning methods, specifically a neural network model, and statistical analysis, which are deployed within the extended intrusion detection system Snort.
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Characterization of Network Operation of Computers and Their Groups
 Kučera, Rostislav ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
The aim of this work is to implement a module for detecting DDoS attacks. The module pro- cesses network traffic, processes it, stores its profile, from which statistical data used for the detection itself are subsequently calculated. The work also deals with the implementation of the module for intrusion detection system Suricata.
Detailed record
Characterization of Network Operation of Computers and Their Groups
 Kučera, Rostislav ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
The aim of this work is to implement a module for detecting DDoS attacks. The module pro- cesses network traffic, processes it, stores its profile, from which statistical data used for the detection itself are subsequently calculated. The work also deals with the implementation of the module for intrusion detection system Suricata.
Detailed record

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