A Big Data Architecture for Security Data and Its Application to Phishing Characterization

As the Internet grows, cybersecurity problems also arise. Different types of malicious activities have been explored by attackers. However, the existent defense mechanisms are not able to completely end the malicious threats, perpetuating this continuous arms race. The development of applications to mitigate those threats presents some complicating factors such as the growth in the amount of data, and the variety of data, that can come from different sources. In this paper we present an architecture built on top of Big Data frameworks that aims to mitigate cybersecurity problems such as spam and phishing and we show how it is being used to study spam and phishing collected using a global honeynet.