Security of data science and data science for security

In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure. In the second part about security for data science, we switch sides and present some applications where data science plays a critical role in pushing the state-of-the-art in securing information systems. This includes a detailed look at the potential and challenges of applying machine learning to the problem of detecting obfuscated JavaScripts

Applying computational intelligence to community policing and forensic investigations

Community Policing operates in an interconnected world and as such could benefit from the latest technological advances such as computational or artificial intelligence. In this chapter, we describe a new method for applying computational intelligence to Community Policing and forensic investigation based on heterogeneous data. To illustrate the proposed method, we apply it to the well-known VAST Challenge 2014. Experimental results show how the proposed method can reduce the process of investigation in finding anomalies in heterogeneous data. The integration of data with the proposed method can simplify the tedious and time consuming job of processing huge amount of data and assist the human expert in making decision and analysis