A Spontaneous Content Based Filtering Approach for Network Security

摘要

An Intrusion detection system (IDS) is software and hardware designed to detect unwanted attempts at accessing, manipulating, or disabling of computer systems, mainly through a network, such as the Internet. An intrusion detection system is used to detect several types of malicious behaviors that can compromise the security and trust of a computer system. This includes network attacks against vulnerable services, data driven attacks on applications, host based attacks such as privilege escalation, unauthorized logins and access to sensitive files, and malwares. This paper proposes how to prevent the above hazards in the web server area with a base of HTTP and FTP protocols by filtering the IP's of the hosts. Moreover we consider the other hazardous files such as unwanted images, banners, attacker's sites, and problem creating contents. The content filtering approaches is under the category of web personalization techniques. The techniques are handicraft, link based, content based filtering, collaborative filtering. We considered the handicraft and content based filtering techniques for our proposal. Due to this approach the unwanted malicious contents are avoided and the work efficiency is very secure and faster than existing system.