The Hacker Eye

Abstract

As hacker eye is a concept of significant risk to internet safety, hacker eye tries to deprive gullible consumers of private information. Phishing websites are the threat that researchers are trying to fight and various techniques in detecting phishing websites have been developed such as machine learning algorithms. Many phishing and legitimate websites can be applied to machine learning algorithm training to learn patterns and characteristics of sites to identify which are phishing and which are not. Once identified and blocked, these algorithms can then be used to find and prey on phishing Web sites, while users are still unscathed. A machine learning approach to detecting Hacker Eye website phishing websites is feature extraction where, through a set of features regarding a website such as URL structure, domain age, content, the ideas around these features are used for identifying such websites. Using deep learning algorithms to automatically extract features and identify intricate patterns in the company's website data is the alternative strategy. Overall machine learning based phishing website detection techniques are promising since such techniques are able to obtain accuracies that rival or even surpass rule based methods. However, and with further research and development, these techniques could become a powerful weapon in the arsenal of anyone fighting against online phishing attacks.