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Mitigation of DoS Attacks Using Machine Learning
Goldschmidt, Patrik ; Kekely, Lukáš (referee) ; Kučera, Jan (advisor)
Útoky typu odoprenia služby (DDoS) sú v dnešných počítačových sieťach stále frekventovanejším bezpečnostným incidentom. Táto práca sa zameriava na detekciu týchto útokov a poskytnutie relevantných informácii za účelom ich mitigácie v reálnom čase. Spomínaná funkcionalita je dosiahnutá s využitím techník prúdového dolovania z dát a strojového učenia. Výsledkom práce je sada nástrojov zastrešujúca celý proces strojového učenia - od vlastnej extrakcie príznakov cez predspracovanie dát až po export natrénovaného modelu pripraveného na nasadenie v produkcii. Experimentálne výsledky vyhodnotené na viacerých reálnych a syntetických dátových sadách poukazujú na presnosť systému väčšiu ako 99% s možnosťou spoľahlivej detekcie prebiehajúceho útoku do 4 sekúnd od jeho začiatku.
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Analysis and Demonstration of Selected Network Attacks
Gregorová, Pavlína ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
In this Bachelor thesis there are described network attacks which focus on network a computers issues. Attacks are aimed at operation system Windows and its security faults. The aim of this Bachelor thesis is also to prepare materials for lab of course called Security and Computer Networks, which is taught at the Faculty of Information Technology in the University of Technology in Brno.
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Detection of SYN Flood Attacks
Ruprich, Michal ; Kekely, Lukáš (referee) ; Bartoš, Václav (advisor)
The thesis deals with a topic of anomally detection in network traffic. The goal is to implement three algorithms which will be able to reveal SYN flooding types of network attacks. Used methods monitor network traffic in real time and create certain model of normal traffic behaviour. This model is then used to detect behaviour which does not fit the model and therefore is considered as an anomally. Algorithms were implemented in C and C++ programming languages.
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Mitigation of DoS Attacks Using Machine Learning
Goldschmidt, Patrik ; Kekely, Lukáš (referee) ; Kučera, Jan (advisor)
Útoky typu odoprenia služby (DDoS) sú v dnešných počítačových sieťach stále frekventovanejším bezpečnostným incidentom. Táto práca sa zameriava na detekciu týchto útokov a poskytnutie relevantných informácii za účelom ich mitigácie v reálnom čase. Spomínaná funkcionalita je dosiahnutá s využitím techník prúdového dolovania z dát a strojového učenia. Výsledkom práce je sada nástrojov zastrešujúca celý proces strojového učenia - od vlastnej extrakcie príznakov cez predspracovanie dát až po export natrénovaného modelu pripraveného na nasadenie v produkcii. Experimentálne výsledky vyhodnotené na viacerých reálnych a syntetických dátových sadách poukazujú na presnosť systému väčšiu ako 99% s možnosťou spoľahlivej detekcie prebiehajúceho útoku do 4 sekúnd od jeho začiatku.
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Protection against DDoS attacks in the cloud computing
Vavroch, Zdeněk ; Karkošková, Soňa (advisor) ; Jelínek, Ivan (referee)
DDoS Attacks are nowadays huge threat on the internet. Many people and companies are dependent on accessibility of their data, services or applications. And that is what attackers try to abuse. In some cases, site or application that is not working, can make very bad name for the company in public. DDoS attacks are dangerous for people working at home, for corporate networks and mainly for huge clouds. Cloud are often targets of attacks because of how many people are affected by it. This thesis is focused on types of DDoS attacks we know and goal of the thesis is to find best defense solutions, mainly for defending the cloud computing. I will choose and describe the most common methods we know and use. In theoretical part I will describe what is cloud computing and DDoS attacks and what types of DDoS we know. In practical part I will describe the most common and efficient methods of defense.
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Analysis and Demonstration of Selected Network Attacks
Gregorová, Pavlína ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
In this Bachelor thesis there are described network attacks which focus on network a computers issues. Attacks are aimed at operation system Windows and its security faults. The aim of this Bachelor thesis is also to prepare materials for lab of course called Security and Computer Networks, which is taught at the Faculty of Information Technology in the University of Technology in Brno.
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|
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Detection of SYN Flood Attacks
Ruprich, Michal ; Kekely, Lukáš (referee) ; Bartoš, Václav (advisor)
The thesis deals with a topic of anomally detection in network traffic. The goal is to implement three algorithms which will be able to reveal SYN flooding types of network attacks. Used methods monitor network traffic in real time and create certain model of normal traffic behaviour. This model is then used to detect behaviour which does not fit the model and therefore is considered as an anomally. Algorithms were implemented in C and C++ programming languages.
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