Design Of Intrusion Detection System For Web-Based System Using Deep Learning Technique

Abstract

In today’s world internet is being accessed by a very huge population, but they are prevented from various access domains. When communication takes place between the various clients and servers, the activity is tracked and every detail is observed where the user login, logout, communication, data search, and various other such features are recorded and stored for further analysis. Security is a major concern in this domain as there are various threats including privacy intrusion, hacking etc. Feedback is an important aspect in today’s world that helps in evaluating the need of the user and helps in improving the overall user experience. The opinions are taken in the form reviews and they are evaluated and implemented. This would help to increase the recommendations by people and hence leads to exponential increase in the product usability and transaction ability. For every request to the server in the form of navigation request etc. a session tracking is performed and the behavior based files are generated.