Testing multi-tenant applications using fuzzing and reinforcement learning
Ciprian Păduraru, Alin Ştefănescu, Bogdan Ghimis · 2020
Testing cloud applications has recently gained in importance since many companies migrated their operations in the cloud. To optimise resources, cloud applications may serve several users at once in a so-called multi-tenant setting. We propose a new technique for testing multi-tenant applications using reinforcement learning combined with gray-box fuzzing techniques. A preliminary evaluation using a combination of fuzzing techniques and genetic algorithms is also provided.