Abstract
Abstract: Honeypot is the ultimate tool in the kit of a security analyst, it helps us figure out what kind of attacks and malicious intent the attackers carry out and different strategies they use to take control of the network. Machine learning on the other hand can be used to make quicker decisions and narrow down different types of attacks faster and therefore predict the same attack that can occur on the actual network. The paper is divided into two sections one where we talk about the setup of the Honeypot on a Cloud service and then analyzing it and the other is where we are using Machine Learning algorithms to predict the type of the threat detected in the honeypots Keywords: Intrusion detection System (IDS), Network Intrusion Detection System(NIDS), High Interaction Honeypots(HIH)
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