Safe Internet Browsing Using Heuristic Based Technique
nbspVibhuti Patel, nbspProf. Hasmukh Patel · International Journal of Engineering Development and Research · 2014
Today while people are depending upon Internet for their personal use as well as for business purposes, the fraud becomes a great problem for the users. Without the knowledge of the end users, attacker takes individuals confidential information by offering attractive offers through fake websites or spreading fake rumours. After fetching all these confidential information attacker misuses data or privileges of the end users. There are two ways to secure from these attackers. One way is to avoid use of Internet and second way is to identify the attacker and be secure from them. To avoid Internet is not the right way today because everything is depended on Internet. Hence it is necessary to detect the attacker and secure individuals private data. Till now many approaches are found to detect fake websites. Among them are Bacterial Foraging algorithm, Visual similarity based approach, Statistical Learning Theory etc. Every approach has some drawbacks or limitations such as less efficient or time consuming or no up-to-date blacklist or phishtank (Database having the fake websites’ list). To detect the fake websites different techniques are proposed such as classifier technique, heuristics based technique, hybrid technique etc. In this paper, we propose a technique based on Heuristic based technique. In first Phase, website is identified based on different parameters like URL (Uniform Resource Locator), GTR (Google Top Rate), IP Address, Forms, age of domain. In second Phase, the visual similarity of the webpage is compared with the original website. The proposed approach also gives the suggestions to the users for their particular domain search that makes user more comfortable to use the system.