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dc.date.accessioned2020-10-16T17:49:31Z
dc.date.available2020-10-16T17:49:31Z
dc.date.issued2020-05-15
dc.identifier.urihttps://hdl.handle.net/1721.1/128020
dc.description.abstractSophisticated cyber attacks are on the rise. Early techniques for cyber attacks, such as guessing passwords manually, have evolved throughout the years—from session hijacking to ransomware and beyond. In order to manage this tricky cyber attack landscape, analysts need automated tools that can accurately detect and classify threats. Researchers are using machine learning to characterize anomalous behavior within a cyber network.en_US
dc.language.isoen_USen_US
dc.publisherMIT Lincoln Laboratoryen_US
dc.relation.ispartofseriesThe Bulletin;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectSupercomputingen_US
dc.subjectLLSCen_US
dc.subjectCyber Securityen_US
dc.subjectInformation Sciencesen_US
dc.subjectLincoln Laboratoryen_US
dc.titleNew Algorithm Uses Supercomputing to Combat Cyber Attacksen_US
dc.typeArticleen_US


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