Threat prediction using honeypot and machine learning

Data is an abstraction which encapsulates information. In today´s era businesses are data driven which gives insight to predict the destiny of the business by making predictions but another side of the coin is data also helps in placing the present health of the business under our radar and looking back in our past and answer some important questions: what exactly went wrong in the past?. In this paper we try to look into the architecture of frameworks which can predict threat using Honeypot as the source of data and various machine learning algorithms to make precise prediction using OSSEC as Host Intrusion Detection System [HIDS], SNORT for Network Intrusion Detection System [NIDS] and Honeyd an open source Honeypot.