Abstract
Many of the most daunting challenges in today’s cyber security world stem from a constant and overwhelming flow of raw network data. The volume, variety, and velocity at which this raw data is created and transmitted across networks is staggering; so staggering in fact, that the vast majority of data is typically regarded as background noise, often discarded or ignored, and thus stripped of the immense potential value that could be realized through proper analysis. When an organization is capable of comprehending this data in its totality—whether it originates from firewall logs, IDS alerts, server event logs, or other sources—then it can begin to identify and trace the markers, clues, and clusters of activity that represent threatening behavior.
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Notes
- 1.
Stuxnet is a Microsoft Windows computer worm discovered in July 2010 that targets industrial software and equipment. Source: http://en.wikipedia.org/wiki/Stuxnet.
- 2.
Titan Rain was the U.S. government’s designation given to a series of coordinated attacks on American computer systems since 2003. Source: http://en.wikipedia.org/wiki/Titan_Rain.
- 3.
Operation Aurora is a cyber-attack that originated in China, and occurred from mid-2009 through December 2009. The attack targeted dozens of major corporations, including Google. Source: http://en.wikipedia.org/wiki/Operation_Aurora.
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© 2016 Springer International Publishing Switzerland
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Villanustre, F., Renzi, M. (2016). HPCC Systems for Cyber Security Analytics. In: Big Data Technologies and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-44550-2_12
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DOI: https://doi.org/10.1007/978-3-319-44550-2_12
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