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3 May 2017 Big data, little security: Addressing security issues in your platform
Thomas Macklin, Joseph Mathews
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Proceedings Volume 10207, Next-Generation Analyst V; 102070G (2017) https://doi.org/10.1117/12.2268002
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States
Abstract
This paper describes some patterns for information security problems that consistently emerge among traditional enterprise networks and applications, both with respect to cyber threats and data sensitivity. We draw upon cases from qualitative studies and interviews of system developers, network operators, and certifiers of military applications. Specifically, the problems discussed involve sensitivity of data aggregates, training efficacy, and security decision support in the human machine interface. While proven techniques can address many enterprise security challenges, we provide additional recommendations on how to further improve overall security posture, and suggest additional research thrusts to address areas where known gaps remain.
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Thomas Macklin and Joseph Mathews "Big data, little security: Addressing security issues in your platform", Proc. SPIE 10207, Next-Generation Analyst V, 102070G (3 May 2017); https://doi.org/10.1117/12.2268002
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KEYWORDS
Computer security
Information security
Network security
Control systems
Human-computer interaction
Data modeling
Defense and security
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