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The Internet of Things [IoT] promises to revolutionize the way we interact with our surroundings. Smart cars, smart cities, smart homes are now being realized with the help of various embedded devices that operate with little to no human interaction. However these embedded devices bring forth a plethora of security challenges as most manufacturers still assign higher importance to the three Ps (prototyping, production and performance) than security. This inherent flaw has manifested itself in the form of various Denial of Service (DoS) attacks orchestrated with the help of unsolicited IoT devices on the Internet. We are even seeing massive throughputs without the need for amplifications affecting large scale infrastructures on the Internet. Thus, understanding the nature of these attacks and quickly identifying infected devices becomes imperative to combat this situation. In this paper we present a model to classify …