AN EFFECTIVE APPROACH FOR PREVENTING INFERENCE ATTACKS IN CYBER SPACE

Web applications are now widely used for forecasting all kinds of information through a web page accessed via network . Its users habitually approach their websites by means of it's URL and unique domain name , all the sites in cyber space are provided with exclusive domain identity .In this context, URL shortening services are supervened that provide perpetual user easy and defended access, at first a short alias of a long URL for sharing it between trusted parties and also benefits easy remembrance and public click analytics mechanism of shortened URLs. The public click analytics is provided in an aggregated form to preserve the privacy of individual users. In this paper, we propose practical forestalling techniques to find inferring user's who clicks which shortened URLs on our web app. Unlike the conventional browser history stealing attacks, the forestalled attack demands private information without the knowledge of the user and will cause information security breach . Evaluation results show that this attack is more vulnerable when compared with the existing attacks thus we provide inference prevention mechanism for thwarting it .