Big Data and National Cyber Security Intelligence

Big Data and National Cyber Security Intelligence

A. G. Rekha (Indian Institute of Management Kozhikode, India)
Copyright: © 2016 |Pages: 14
DOI: 10.4018/978-1-4666-9840-6.ch038
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Abstract

With the availability of large volumes of data and with the introduction of new tools and techniques for analysis, the security analytics landscape has changed drastically. To face the challenges posed by cyber-terrorism, espionage, cyber frauds etc. Government and law enforcing agencies need to enhance the security and intelligence analysis systems with big data technologies. Intelligence and security insight can be improved considerably by analyzing the under-leveraged data like the data from social media, emails, web logs etc. This Chapter provides an overview of the opportunities presented by Big Data to provide timely and reliable intelligence in properly addressing terrorism, crime and other threats to public security. This chapter also discusses the threats posed by Big Data to public safety and the challenges faced in implementing Big Data security solutions. Finally some of the existing initiatives by national governments using Big Data technologies to address major national challenges has been discussed.
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2. Big Data Opportunities For National Cyber Intelligence

This section will give an overview of how Big Data technologies can complement cyber security solutions. Law enforcement agencies can utilizes Big Data to ensure public safety by capturing and mining huge amounts of data from multiple sources. For example, there are systems which collect data related to travel, immigration, suspicious financial transactions etc. Linking previously unconnected datasets can remove anonymity of individuals and analyzing this data can reveal patterns of connections among persons, places or events. These patterns could then be used for proactive policy making to ensuring public safety. Big Data tools can provide actionable security intelligence by reducing the time for correlating, consolidating, and contextualizing information, and also correlate long-term historical data for forensic purposes. For instance, the WINE platform and Bot-Cloud allow the use of MapReduce to efficiently process data for security analysis. (Ardenas, 2013). Now we will discuss some of the opportunities of Big Data in the security landscape.

2.1. Efficient Resource Management to Set a Holistic Strategy

By integrating and analyzing huge amounts of structured and unstructured data from various sources we can have efficient security assessment and thereby support national security agencies to set a holistic strategy for public safety. Leveraging all sources of available data can present great opportunities for a more efficient resource management and thereby provide new insights and intelligence. Using big data logs from multiple sources could be consolidated and analysed. This provides a better security intelligence compared to analyzing in isolation.

2.2. Crime Prediction and Mitigation

Discovering hidden relationships and detecting patterns from data gathered from sources such as internet, mobile devices, transactions, email, social media etc. can reveal evidence of criminal activity. For example by correlating real time and historical user activity we can uncover abnormal user behavior and fraudulent transactions.

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