Can Cybersecurity Be Proactive? A Big Data Approach and Challenges Chen, Hong-Mei Kazman, Rick Monarch, Ira Wang, Ping 2016-12-29T02:12:27Z 2016-12-29T02:12:27Z 2017-01-04
dc.description.abstract The cybersecurity community typically reacts to attacks after they occur. Being reactive is costly and can be fatal where attacks threaten lives, important data, or mission success. But can cybersecurity be done proactively? Our research capitalizes on the Germination Period—the time lag between hacker communities discussing software flaw types and flaws actually being exploited—where proactive measures can be taken. We argue for a novel proactive approach, utilizing big data, for (I) identifying potential attacks before they come to fruition; and based on this identification, (II) developing preventive counter-measures. The big data approach resulted in our vision of the Proactive Cybersecurity System (PCS), a layered, modular service platform that applies big data collection and processing tools to a wide variety of unstructured data sources to predict vulnerabilities and develop countermeasures. Our exploratory study is the first to show the promise of this novel proactive approach and illuminates challenges that need to be addressed.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.725
dc.identifier.isbn 978-0-9981331-0-2
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Big Data Anaytics
dc.subject Emerging Concepts
dc.subject Proactive Cybersecurity System
dc.subject Germination Period
dc.title Can Cybersecurity Be Proactive? A Big Data Approach and Challenges
dc.type Conference Paper
dc.type.dcmi Text
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