COOKIE POISONING, DNS, XSS TESTING FOR WEB APPLICATION FIREWALLS

Abstract

Network Security is one of the biggest concerns in modern day cloud computing. Web App firewalls are
an important protection mechanism for online software systems. We propose work on recent cloud
attacks such as (XSS)cross site scripting,(DNS)Domain -Name server attacks and cookie poisoning
attacks through a fuzzy logic based machine learning driven method and using (SDN)software defined
network rules which will automatically detect malicious IP address based on rules and fuzzy logic and
will be blocked and a list will be generated will be updated routinely by the system itself and (SDN)
defined rules will significantly reduce the false alarm rate and Random fuzzy logic will increase the
efficiency and reduce the intrusion of malicious request of hackers.