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Evaluation of in-memory storage engine for machine learning analysis of security events.

, , , , and . Concurr. Comput. Pract. Exp., (2017)

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Accelerating Event Processing for Security Analytics on a Distributed In-Memory Platform., , and . DASC/PiCom/DataCom/CyberSciTech, page 634-643. IEEE Computer Society, (2018)High-Speed Security Analytics Powered by In-Memory Machine Learning Engine., , , , and . ISPDC, page 74-81. IEEE Computer Society, (2015)Multi-core Supported High Performance Security Analytics., , , and . DASC, page 621-626. IEEE Computer Society, (2013)A New Approach to Building a Multi-tier Direct Access Knowledgebase for IDS/SIEM Systems., , , and . DASC, page 118-123. IEEE Computer Society, (2013)Runtime Updatable and Dynamic Event Processing Using Embedded ECMAScript Engines., , , and . ICITCS, page 1-4. IEEE Computer Society, (2014)Evaluation of in-memory storage engine for machine learning analysis of security events., , , , and . Concurr. Comput. Pract. Exp., (2017)Enabling Big Data security analytics for advanced network attack detection.. University of Potsdam, Germany, (2018)Automated parsing and interpretation of identity leaks., , , and . Conf. Computing Frontiers, page 127-134. ACM, (2016)Normalisation of Log Messages for Intrusion Detection, , , , , and . Journal of Information Assurance and Security, 9 (3): 167-176 (September 2014)Gathering and Analyzing Identity Leaks for Security Awareness., , , , and . PASSWORDS, volume 9393 of Lecture Notes in Computer Science, page 102-115. Springer, (2014)