Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Kelly, M T"'
Autor:
Bridges, Robert A., Weber, Brian, Beaver, Justin M., Smith, Jared M., Verma, Miki E., Norem, Savannah, Spakes, Kevin, Watson, Cory, Nichols, Jeff A., Jewell, Brian, Iannacone, Michael. D., Stahl, Chelsey Dunivan, Huffer, Kelly M. T., Oesch, T. Sean
This work presents an evaluation of six prominent commercial endpoint malware detectors, a network malware detector, and a file-conviction algorithm from a cyber technology vendor. The evaluation was administered as the first of the Artificial Intell
Externí odkaz:
http://arxiv.org/abs/2308.14835
Autor:
Bridges, Robert A., Oesch, Sean, Verma, Miki E., Iannacone, Michael D., Huffer, Kelly M. T., Jewell, Brian, Nichols, Jeff A., Weber, Brian, Beaver, Justin M., Smith, Jared M., Scofield, Daniel, Miles, Craig, Plummer, Thomas, Daniell, Mark, Tall, Anne M.
Publikováno v:
Digital Threats: Research and Practice 2023
In this paper, we present a scientific evaluation of four prominent malware detection tools to assist an organization with two primary questions: To what extent do ML-based tools accurately classify previously- and never-before-seen files? Is it wort
Externí odkaz:
http://arxiv.org/abs/2012.09214
Autor:
Bridges, Robert A., Vincent, Maria A., Huffer, Kelly M. T., Goodall, John R., Jamieson, Jessie D., Burch, Zachary
Publikováno v:
Workshop on Information Security Workers, USENIX SOUPS 2018
Modern cyber security operations collect an enormous amount of logging and alerting data. While analysts have the ability to query and compute simple statistics and plots from their data, current analytical tools are too simple to admit deep understa
Externí odkaz:
http://arxiv.org/abs/1805.09676
Publikováno v:
Western North American Naturalist. Aug2023, Vol. 83 Issue 2, p153-164. 12p.
Autor:
Kelly M. T. Schmidt, Kristin M. Hansen, Adrienne L. Johnson, Adam D. Gepner, Claudia E. Korcarz, Michael C. Fiore, Timothy B. Baker, Megan E. Piper, James H. Stein
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 8, Iss 24 (2019)
Background We evaluated the effects of smoking and smoking cessation on aortic wave reflections (augmentation index), aortic pulse wave velocity, and carotid artery distensibility and stiffness (distensibility coefficient, Young's elastic modulus). M
Externí odkaz:
https://doaj.org/article/7930a02a08254d60aac9ae5c82ae7a91
Akademický článek
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Autor:
Robert A. Bridges, Sean Oesch, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeff A. Nichols, Brian Weber, Miki E. Verma, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall, Justin M. Beaver, Jared M. Smith
Publikováno v:
Digital Threats: Research and Practice.
There is a lack of scientific testing of commercially available malware detectors, especially those that boast accurate classification of never-before-seen (i.e., zero-day) files using machine learning (ML). Consequently, efficacy of malware detector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d9a0ff72badc9c93947a07e7cb236e
https://doi.org/10.1145/3567432
https://doi.org/10.1145/3567432
Autor:
Bridges, Robert A., Oesch, Sean, Iannacone, Michael D., Huffer, Kelly M. T., Jewell, Brian, Nichols, Jeff A., Weber, Brian, Verma, Miki E., Scofield, Daniel, Miles, Craig, Plummer, Thomas, Daniell, Mark, Tall, Anne M., Beaver, Justin M., Smith, Jared M.
Publikováno v:
Digital Threats: Research & Practice; Jun2023, Vol. 4 Issue 2, p1-22, 22p
Autor:
Jared M. Smith, Dan Scofield, Craig Miles, Sean Oesch, Kelly M. T. Huffer, Justin M. Beaver, John R. Goodall, Robert A. Bridges
Publikováno v:
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Gartner, a large research and advisory company, anticipates that by 2024 80% of security operation centers (SOCs) will use machine learning (ML) based solutions to enhance their operations.11https://www.ciodive.com/news/how-data-science-tools-can-lig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80356a9848712f28b33ef929236dd4ab
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00111
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00111