ENHANCING SECURITY: AN INTELLIGENT PHISH CATCHER WITH SAFE SEARCH ON BROWSERS
Dr.T.MAHESH SELVI M.E.,P.hd.,
RAJESWARI S2, SHALINI S3, DHARANIKA S4
Department of Computer Science and Engineering University College of Engineering, Thirukkuvalai
(A constituent College Of Anna University::Chennai and Approved by AICTE, New Delhi)
ABTRACT
A frequent and major hazard to cyber security is a malicious URL or website. Of course, search engines end up becoming the foundation of information management. However, our users are under great jeopardy due to the proliferation of fraudulent websites on search engines. Most existing malware detection systems concentrate on particular types of attacks. Blacklist-based browser add-ons that are now available are helpless against a vast number of websites. As a result, any data that leaves the client side must be adequately masked such that the server is unable to deduce any useful information from the masked data. The first PPSB service is proposed here. Strong security guarantees are offered, which are absent from current SB services. Specifically, it takes over the ability to identify risky URLs while simultaneously safeguarding the user's privacy (search history) and the proprietary assets of the blacklist provider (the harmful URL list). This study suggests a paradigm that encrypts users' private information to protect it from outside analysts and service providers. Additionally, it fully supports the selective aggregate functions needed for the investigation of online user behaviour while maintaining differentiated privacy. Here, user search activity data is encrypted using the AES encryption technique. Only authorized users who have completed the verification process and shared a secret key can decrypt the history. The search engine administrator can be informed of any fraudulent URL by using the user feedback mechanism. An administrator may regularly update the database of harmful URLs.
Keywords: Intelligent Phish Catcher, SVM algorithms and Python.
