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Mitigation of DoS Attacks Using Neural Networks
Odehnal, Tomáš ; Wrona, Jan (referee) ; Kučera, Jan (advisor)
This bachelor's thesis deals with design and implementation of two approaches as protection against SYN Flood attacks, which are part of DoS attacks. Nowadays Denial of Service attack are very widespread and their execution are quite simple. While they can cause big financial damage to internet or service providers. The purpose of this work is to determine that conventional algorithmic approach and heuristic approach using neural network are capable of SYN Flood attacks mitigation. Implementation of both approaches were done by their design. Then both implementations were tested.
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System for Protection against DoS Attacks
Šiška, Pavel ; Wrona, Jan (referee) ; Kučera, Jan (advisor)
This bachelor's thesis deals with the design and implementation of the software part of the system for protection against DoS attacks. Nowadays Denial of Service attacks are quite common and can cause significant financial damage to internet or service providers. The main goal of this thesis was to provide software, which is focused on high-speed data throughput and can provide efficient protection against these attacks in 100 Gbps networks. Key part of the system, which is being developed in cooperation with CESNET, is hardware-accelerated network interface card, which can process incoming network traffic at full wire-speed and does the operations laid down by the software part. The main task of the software is evaluation of the information about network traffic and managing actions of the hardware accelerator. The software part of the proposed system has been successfully implemented and the properties of the system have been verified in an experimental evaluation. During the work on this thesis the first implementation of the system has already been deployed in CESNET network infrastructure.
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Mitigation of DoS Attacks Using Neural Networks
Odehnal, Tomáš ; Wrona, Jan (referee) ; Kučera, Jan (advisor)
This bachelor's thesis deals with design and implementation of two approaches as protection against SYN Flood attacks, which are part of DoS attacks. Nowadays Denial of Service attack are very widespread and their execution are quite simple. While they can cause big financial damage to internet or service providers. The purpose of this work is to determine that conventional algorithmic approach and heuristic approach using neural network are capable of SYN Flood attacks mitigation. Implementation of both approaches were done by their design. Then both implementations were tested.
|
|
|
System for Protection against DoS Attacks
Šiška, Pavel ; Wrona, Jan (referee) ; Kučera, Jan (advisor)
This bachelor's thesis deals with the design and implementation of the software part of the system for protection against DoS attacks. Nowadays Denial of Service attacks are quite common and can cause significant financial damage to internet or service providers. The main goal of this thesis was to provide software, which is focused on high-speed data throughput and can provide efficient protection against these attacks in 100 Gbps networks. Key part of the system, which is being developed in cooperation with CESNET, is hardware-accelerated network interface card, which can process incoming network traffic at full wire-speed and does the operations laid down by the software part. The main task of the software is evaluation of the information about network traffic and managing actions of the hardware accelerator. The software part of the proposed system has been successfully implemented and the properties of the system have been verified in an experimental evaluation. During the work on this thesis the first implementation of the system has already been deployed in CESNET network infrastructure.
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