ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network

摘要: Recently, D/DoS attacks have been launched by zombie IoT devices in smart home networks. They pose a great threat to network systems with Application Layer DDoS being especially hard detect due their stealth and seemingly legitimacy. In this paper, we propose ForChaos, lightweight detection algorithm for devices, which is based on forecasting chaos theory identify flooding attacks. For every time-series behaviour collected, forecasting-technique prediction generated, number of features, the error between two values calculated. order assess from actual value, Lyapunov exponent used potential malicious behaviour. NS-3 evaluate our through series experiments slow-rate The results are presented discussed detail compared related studies, demonstrating its effectiveness robustness.