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Cyber Attacks
Zmeškal, Jiří ; Člupek, Vlastimil (referee) ; Číka, Petr (advisor)
Theoretical part of this thesis is dedicated to describing basic terms of network communication. Usage of network communication has become a necessity and is used on daily basis for a number of purposes, starting with communication between people, going across internet shopping and banking all the way to remote controlling industrial machinery. Another theoretically described topic is how attackers abuse attributes and shortcomings of communication protocols in order to commit illegal activities, specifically denial of service type of attacks. Finally, theoretical part includes a list of found open source applications capable of launching such attacks. Practical part describes development of application, capable of launching two selected forms of attack. These attacks are HTTP GET Flood, based on sending massive amounts of GET request, and Slow HTTP GET, based on imitating a user with slow internet connection. The development is described step by step and includes multithread processing, used publicly available components (Boost library for example) and challenges encountered during development (such as library limitations and cross platform compatibility).
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Extreme learning machines for time series prediction
Zmeškal, Jiří ; Rajnoha, Martin (referee) ; Burget, Radim (advisor)
Thesis is aimed at the possibility of utilization of extreme learning machines and echo state networks for time series forecasting with possibility of utilizing GPU acceleration. Such predictions are part of nearly everyone’s daily lives through utilization in weather forecasting, prediction of regular and stock market, power consumption predictions and many more. Thesis is meant to familiarize reader firstly with theoretical basis of extreme learning machines and echo state networks, taking advantage of randomly generating majority of neural networks parameters and avoiding iterative processes. Secondly thesis demonstrates use of programing tools, such as ND4J and CUDA toolkit, to create very own programs. Finally, prediction capability and convenience of GPU acceleration is tested.
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Extreme learning machines for time series prediction
Zmeškal, Jiří ; Rajnoha, Martin (referee) ; Burget, Radim (advisor)
Thesis is aimed at the possibility of utilization of extreme learning machines and echo state networks for time series forecasting with possibility of utilizing GPU acceleration. Such predictions are part of nearly everyone’s daily lives through utilization in weather forecasting, prediction of regular and stock market, power consumption predictions and many more. Thesis is meant to familiarize reader firstly with theoretical basis of extreme learning machines and echo state networks, taking advantage of randomly generating majority of neural networks parameters and avoiding iterative processes. Secondly thesis demonstrates use of programing tools, such as ND4J and CUDA toolkit, to create very own programs. Finally, prediction capability and convenience of GPU acceleration is tested.
|
|
|
Cyber Attacks
Zmeškal, Jiří ; Člupek, Vlastimil (referee) ; Číka, Petr (advisor)
Theoretical part of this thesis is dedicated to describing basic terms of network communication. Usage of network communication has become a necessity and is used on daily basis for a number of purposes, starting with communication between people, going across internet shopping and banking all the way to remote controlling industrial machinery. Another theoretically described topic is how attackers abuse attributes and shortcomings of communication protocols in order to commit illegal activities, specifically denial of service type of attacks. Finally, theoretical part includes a list of found open source applications capable of launching such attacks. Practical part describes development of application, capable of launching two selected forms of attack. These attacks are HTTP GET Flood, based on sending massive amounts of GET request, and Slow HTTP GET, based on imitating a user with slow internet connection. The development is described step by step and includes multithread processing, used publicly available components (Boost library for example) and challenges encountered during development (such as library limitations and cross platform compatibility).
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