Cyber Intelligence

Development of a Cyber-Threat Intelligence-Sharing Model from Big Data Sources

Abstract:

As data in cyberspace continues to grow because of the ubiquity of Information Communication Technologies (ICT), it is becoming challenging to obtain context-aware, actionable information from Big Data to timely detect and respond to cyberattacks that are increasing in severity, complexity, and frequency. In fact, cybercriminals are developing and sharing advanced techniques for their cyber espionage, reconnaissance missions, and ultimately devastating attacks. In order to reduce cybersecurity risks and strengthen cyber resilience, strategic cybersecurity information-sharing is a necessity. This article discusses one way of handling large volumes of unstructured data that have been generated by multiple sources across different sectors into a cyber-threat intelligence-sharing model.

An Annotated Bibliographical Survey on Cyber Intelligence for Cyber Intelligence Officers

ABSTRACT

Since 2008, Cyberspace is officially regarded as a distinct military domain, along with land, sea, and air for many countries (Goel 2011). The nature of warfare in cyberspace is radically different than traditional warfare: the attacks are more remote, stealthy, and detecting the identity of the adversary may be impossible (Greengard 2010). Nations need intelligence in this relatively new domain of war in order to know the strengths and weaknesses of other nations and themselves. This paper presents a literature survey on computer science methodologies that can be useful for intelligence officers working in cyberspace.

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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