Gray-box Network Fuzzing using Genetic Algorithms and Code Coverage

Thesis describes the creation of a fuzzer which uses a genetic algorithm and runtime code coverage metrics to get better results. Research is carried out to show that the new fuzzer performs better than other fuzzers. Additional research is performed on the impact of different code coverage metrics on the genetic algorithm and thus the peformance of the fuzzer.