‘E-SPY’: DETECTION AND PREDICTION OF WEBSITE ATTACKS
J Falguni · International Journal of Advanced Research in Computer Science · 2018
While making the world smaller, internet is experiencing an increase in cyber crimes like hacking, identity and data theft and people fall prey to malicious attacks because of lack of knowledge. SQLIA enables unauthorized users to make use of loopholes within any system to gain access to its databases and phish data, using tautologies, piggybacking, and union. These intrusions can be handled by an IDS which involves monitoring and analyzing: user activities, system activities, configurations and vulnerabilities, abnormal activity patterns, user policy violations, etc. IDS transforms the captured packets to a predefined data structure. Our proposed system's slow detection link combats the drawback of using a Snort plug-in which obtains only the port information of the source IP-address. An IDS can be integrated with a honeypot which allows the user to attack to learn the pattern of various attacks and prevent such attacks on the main system.