An Intuitive Study: Intrusion Detection Systems and Anomalies, How AI can be used as a tool to enable the majority, in 5G era
Siddhant Shah, Shailesh Pramod Bendale · 2019
The era of 5G is almost here, with tech companies distributing enabled micro-controllers and governments leasing the required spectrums. A heavily invested field with real-time response and attack systems is required. With data getting localised and handling ever rising cyber-security threats becoming a task, intranet warfare and data manoeuvring resulting in disasters, a new approach is required to redistribute power from the hands of a few to those of many. This paper provides for a novice's perspective to match its theme of power to the people and an approach of Open System Resources in Networking. It gives a well-informed literary survey to educate the reader of the recent developments and the way forward. The paper uses yesteryears coming of age techniques such as Software Defined Networking and Network Function Virtualisation as the basis for start and then deep dives into Artificial Neural Networks. It makes sure that the context of neural networks is not alarming and that data traffic is not analysed against any privacy constraints. This makes the algorithms involved safe to use and creates a viable career in the same sense of maintenance and updating the systems involved. We analyse the application of smart networks that empower a built-in common sense AI with a focus on aspects such as scalability, performance, dependability, security, and resiliency. All of this is with power capacity constraints in mind, and most of the implementations proposed can be created on a simple FPGA architecture.