Abstract:
Communication network security is a defence against unwanted system modifications
to access files and folders within a computer network. The increasing overlap between the
physical and virtual realms of improved communication poses a problem of cybersecurity. In this
research, the big data analytics-based security system (BDASS) has been proposed to improve
the communication network’s security defence system with artificial intelligence (AI). The big
data sets representing multiple categories of data are used in big data analysis methods. AI offers
algorithms that can think or learn and strengthen their behaviour. Automated systems currently
are built on syntactic rules that are not necessarily sufficiently sophisticated to handle the degree
of difficulty in the communication network system. The BDASS model achieves a less
computation time ratio of 21.3%, misbehaviour detection ratio of 97.5%, attack prediction
accuracy ratio of 95.6%, possibility ratio of 96.4%, and success rate of 98.7% compared to other
methods.
