Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML)

Abstract

In this vociferous twenty-first century, we are surrounded by technology which has a huge impact on the lives of every generation from a small kid to an old-aged man, all are busy using technology. This amount of human involvement in technology motivates rapid advancement in technology where researchers and engineers put their all efforts into solving problems that will impact the lives of billions of users. These problems are either conspicuous or abstract. Any new advancement for conspicuous problems can be noticed by end-users but the advancement for abstract technology may not be noticed by end-users with such ease but they also play a major role in solving problems that need to be addressed. The diverse concept of future virtual systems, which includes various access systems, recurrence groups, and cells - all of which include inclusion areas in order to help remote administrators with the task of organizing and transmitting. Artificial intelligence (AI) and machine learning (ML) can help remote administrators to beat these difficulties by examining the geographic data, designing boundaries and memorable information to figure the pinnacle traffic, asset use and application types, enhancing and calibrating organize boundaries for limit extension and dispense with inclusion gaps by estimating the obstruction, and utilizing the between site separation data fifth-generation (5G) can be a key empowering influence to drive the ML and AI incorporation into the system edge. The figure underneath shows how 5G empowers synchronous associations with different Internet of Things (IoT) gadgets creating gigantic measures of information. The coordination of ML and AI with 5G multi-get to edge processing empowers remote administrators to offer an elevated level of robotization from the conveyed ML and AI engineering at the system edge, application-based traffic guiding and accumulation across heterogeneous access systems, dynamic system cutting to address shifted use cases with various quality of service necessities and ML/AI as an administration offering for end clients. In this chapter, we address all 5G technology, challenges associated with 5G technology, and the role of AI and ML in 5G technology. IoT will become more fruitful with AI, ML and 5G technology. All these technologies work in an interconnected system over a network because of this their reliability on the network increase. Therefore, in this chapter, we will also discuss how network intrusion detection can be done with the help of AI in a much faster way with better accuracy.