A Study On Various Cyber Attacks And A Proposed Intelligent System For Monitoring Such Attacks
Atul S. Choudhary, Pankaj P Choudhary, Shrikant Salve · 2018
World is moving rapidly towards the digital transformation. The internet across the world is growing rapidly which gives rise to many opportunities in every field including entertainment, finance, education, sports etc. As every coin has two aspects, the internet also has many advantages and disadvantages. We know about the advantages, but the only major disadvantage that everyone should be aware of is the increase in cyber-attacks. It is nothing, but the illegal activity committed on the internet. Many government websites and systems were hacked in the past few years and it has caused a huge loss to the nations like India, USA and China. These governments have already taken various steps to counter these crimes & attacks. But still, the attackers are coming up with new ways of attacking every time. There is need for some concrete solution which is not in the reach of the attackers. For developing such systems and tools we have done a deep analysis of various types of cybercrime and attacks happened in past along with existing solutions proposed by many researchers. Therefore, this paper presents a study on various cyber-attacks that were triggered in India and other countries in the past few years. The various prevention methods proposed in past to deal with these kinds of attacks. These prevention methods are based on machine learning algorithms like a random forest, k-means clustering, support vector machine and artificial neural network applied in order to prevent cyber-attacks. Also, in this paper, we have reported proposed intelligent system which is based supervised and unsupervised learning techniques to avoid these cyber-attacks. This proposed system might provide high efficiency with a minimum human intervention which can be implemented and used as a universal solution to most of the common cyber-attacks.