Report available! A novel graph analytics theory model to mitigate IoT botnets attacks for big data

The project led by Raihana Syahirah Abdullah, from the Faculty of Information Technology and Communication at the Universiti Teknikal Malaysia Melaka (UTeM) finalized their project and submitted their technical report.

The research focused on getting the parameter from raw infection codes using a reverse engineering approach as well as addressing the behaviours of IoT botnets. The main objective of the research was to develop a new model in detecting IoT botnets using graph analytics theory model with analysing the selection of influence feature factor. The output of this research is a scheme that is able to remove and quarantine the suspicious codes as well as able to detect the behaviour changes in the IoT devices. The model also can be used as a security tool to discover the real behaviors of IoT botnets from the raw infection codes that exists in particular IoT devices and machines.

The report is publicly available.