Genetic algorithm based bacterial foraging optimization with three-pass protocol concept for heterogeneous network security enhancement

Most of the currently available Heterogeneous protocols operate on the basis of reliable and secured communication environment. These protocols are vulnerable to modern intruding techniques that include different types of raised attacks. Routing attacks are very atrocious because of the dynamic nature of heterogeneous network Routing as well as member nodes with different Computational powers. Heterogeneous Network architectures plays a vital role in modern world communication that is virtually all communications and secret resource transactions are widely depending on the heterogeneous network architecture. GABFO has been concerned to optimize the parameters in the dynamic nature of environment for update itself by its genitival processes.TPP can afford high security, without exchange of mean value. The combination of both GABFOTPP ensures high security against attacks and leads best Qos improvement. The Planned work is an effort to improve the existing security of the heterogeneous network routing protocols, using Genetic Algorithm based Bacterial Foraging Optimization (GA-BFO) with Three-pass protocol concept against different types of attacks and it can be most useful in secured IoT Communication.