Web robot detection based on pattern-matching technique

Introduction: In web robot detection it is important is to find features that are common characteristics of diverse robots, in order to differentiate between them and humans. Existing approaches employ fairly simple features (e.g. empty referrer field, interval between successive requests), which often fail to reflect web robots' behaviour accurately. False alarms may therefore occur unacceptably often request patterns. In this paper we propose a fresh approach that expresses the behaviour of interactive users and various web robots in terms of a sequence of request types, called request patterns. Botnet is most widespread and occurs commonly in today's cyber attacks, resulting in serious threats to our network assets and organization's properties. Botnets are collections of compromised computers (Bots) which are remotely controlled by its originator (BotMaster) under a commonCommand-andControl (C&C) infrastructure. They are used to distribute commands to the Bots for malicious activities such as distributed denial-of-service (DDoS) attacks, spam Research Paper—Computer Science & Appliceation