dc.date.accessioned | 2020-10-16T17:49:31Z | |
dc.date.available | 2020-10-16T17:49:31Z | |
dc.date.issued | 2020-05-15 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/128020 | |
dc.description.abstract | Sophisticated 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.iso | en_US | en_US |
dc.publisher | MIT Lincoln Laboratory | en_US |
dc.relation.ispartofseries | The Bulletin; | |
dc.rights | Attribution-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
dc.subject | Supercomputing | en_US |
dc.subject | LLSC | en_US |
dc.subject | Cyber Security | en_US |
dc.subject | Information Sciences | en_US |
dc.subject | Lincoln Laboratory | en_US |
dc.title | New Algorithm Uses Supercomputing to Combat Cyber Attacks | en_US |
dc.type | Article | en_US |