Hierarchical Growing Neural Gas Network (HGNG) -based semi-cooperative

In this book, we are presenting the Growing Hierarchical Neural Gas Network (HGNG)-based semi-cooperative feature classifier for IDS in VANET. This novel ID infrastructure is mainly introducing a new design feature for extraction mechanism and an HGNG-based classifier. In the beginning, we will extract the traffic stream structures and vehicle location features in the VANET model. Later an HGNG-based classifier was designed for evaluating the IDS by using hierarchy learning process without the limitation of the fix lattice topology. Finally, an additional two-step validation mechanism was used to determine the abnormal vehicle messages accurately. The proposed method has better finding accuracy, stability, processing efficiency and communication load.