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Fuzzer Based on Genetic Programming
Závada, Tomáš ; Gerlich, Tomáš (referee) ; Ilgner, Petr (advisor)
The thesis is focused on testing, discusses its various approaches and more specifically focuses on the automated testing technique called fuzzing. It discusses its process, advantages, disadvantages and then also some of its possible improvements. Furthermore, the work is focused specifically on improving the process of fuzzing techniques using genetic algorithms. Genetic algorithms help create more appropriate test inputs, saving time during testing process while achieving appropriate results. A server using the DLMS/COSEM standard was chosen as the testing target. The thesis also introduces the DLMS protocol, which provides communication between clients and servers, and other essentials falling under the COSEM specification. Then the assembly of a test network, containing a server and a client, which use the mentioned standard for communication, is described. The thesis also elaborates a solution proposal for how the connection of the testing tool to the network could look like. Finally, the implementation of a fuzzer using the process of genetic algorithms to generate test data is also included.
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Fuzzer Based on Genetic Programming
Závada, Tomáš ; Gerlich, Tomáš (referee) ; Ilgner, Petr (advisor)
The thesis is focused on testing, discusses its various approaches and more specifically focuses on the automated testing technique called fuzzing. Theoretical part is focused on the process, used in fuzzing, advantages and disadvantages and also some of possible improvements. Furthermore, the work is focused specifically on improving the process of fuzzing using genetic algorithms. Genetic algorithms help create more appropriate test inputs, saving time during testing process while achieving appropriate results. A server using the DLMS/COSEM standard was chosen as the testing target. The thesis also introduces the DLMS protocol, which provides communication between clients and servers, and other essentials falling under the COSEM specification. Then the assembly of a test network, containing a server and a client, which use the mentioned standard for communication, is described. The thesis also elaborates a solution proposal for how the connection of the testing tool in the network could look like in a generic case. Finally, the implementation of a fuzzer using genetic algorithms to generate test data is also included.
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Fuzzer Based on Genetic Programming
Závada, Tomáš ; Gerlich, Tomáš (referee) ; Ilgner, Petr (advisor)
The thesis is focused on testing, discusses its various approaches and more specifically focuses on the automated testing technique called fuzzing. It discusses its process, advantages, disadvantages and then also some of its possible improvements. Furthermore, the work is focused specifically on improving the process of fuzzing techniques using genetic algorithms. Genetic algorithms help create more appropriate test inputs, saving time during testing process while achieving appropriate results. A server using the DLMS/COSEM standard was chosen as the testing target. The thesis also introduces the DLMS protocol, which provides communication between clients and servers, and other essentials falling under the COSEM specification. Then the assembly of a test network, containing a server and a client, which use the mentioned standard for communication, is described. The thesis also elaborates a solution proposal for how the connection of the testing tool to the network could look like. Finally, the implementation of a fuzzer using the process of genetic algorithms to generate test data is also included.
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