Výsledky vyhledávání - "Jewell, Brian"

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AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors

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

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Testing SOAR Tools in Use

Autor: Bridges, Robert A., Rice, Ashley E., Oesch, Sean, Nichols, Jeff A., Watson, Cory, Spakes, Kevin, Norem, Savannah, Huettel, Mike, Jewell, Brian, Weber, Brian, Gannon, Connor, Bizovi, Olivia, Hollifield, Samuel C, Erwin, Samantha

Publikováno v: Computers & Security 2023

Modern security operation centers (SOCs) rely on operators and a tapestry of logging and alerting tools with large scale collection and query abilities. SOC investigations are tedious as they rely on manual efforts to query diverse data sources, over

Externí odkaz: http://arxiv.org/abs/2208.06075

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Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection

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

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