Exploring Machine learning applications in cyber attacks detection

Attackers and hackers employ many tactic known as phishing, cyber-attacks, dos attacks DOS attacks, man in middle attacks etc to damage trustworthy URLs as well as important websites. In this research, we discussed various cyber threats, the interrelation of cyber threats, and machine learning types of phishing attacks various techniques to detect cyber phishing by using machine learning, and we have also compared various phishing attacks with a few machine learning techniques with the help of a classification technique like supervised learning in which we apply SVM, random forest and extreme learning machine, the NSL-knowledge discovery is used in the evaluation of intrusion detection method also we have compared the accuracy in which precision-recall is used to find the accuracy and to calculate the performance and we concluded that ELM method give best result in terms of accuracy.