Malware Data Science: Attack, Detection, and Attribution by Joshua Saxe (English

Description: Malware Data Science by Joshua Saxe, Hillary Sanders Identify, analyse, and classify large-scale malware using machine learning and data visualisation. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, youll need to know how to think like a data scientist.In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis.Youll learn how to-- Analyze malware using static analysis- Observe malware behavior using dynamic analysis- Identify adversary groups through shared code analysis- Catch 0-day vulnerabilities by building your own machine learning detector- Measure malware detector accuracy- Identify malware campaigns, trends, and relationships through data visualizationWhether youre a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve. Author Biography Joshua Saxe is Chief Data Scientist at major security vendor, Sophos, where he leads a security data science research team. Hes also a principal inventor of Sophos neural network-based malware detector, which defends tens of millions of Sophos customers from malware infections. Before joining Sophos, Joshua spent 5 years leading DARPA funded security data research projects for the US government.Hillary Sanders leads the infrastructure data science team at Sophos, which develops the frameworks used to build Sophos deep learning models. Before joining Sophos, Hillary created a recipe web app and spent three years as a data scientist at Premise Data Corporation. Review "For those looking to become a security data scientist, or just want to get a comprehensive understanding of how to use data science to deal with malicious software, Malware Data Science is a superb reference." —Ben Rothke, RSA Conference"If you are new to data science or machine learning, this book provides an excellent introduction to these topics." —DMFR Security Promotional Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Review Quote "For those looking to become a security data scientist, or just want to get a comprehensive understanding of how to use data science to deal with malicious software, Malware Data Science is a superb reference." --Ben Rothke, RSA Conference Promotional "Headline" Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Description for Sales People Malware is growing increasingly sophisticated; this will give professionals a leg up by teaching them how to stay ahead. Few books exist that bridge the gap between data science and security - this book fills a gap in the market. Joshua Saxe is Chief Data Scientist at Sophos, and has presented at major InfoSec conferences like Black Hat. Includes real-world examples that push readers to hone their skills and learn by doing. Details ISBN1593278594 Author Hillary Sanders Publisher No Starch Press,US Year 2018 ISBN-10 1593278594 ISBN-13 9781593278595 Format Paperback Imprint No Starch Press,US Subtitle Attack, Detection, and Attribution Place of Publication San Francisco Country of Publication United States Media Book DEWEY 005.88 Short Title Malware Data Science Language English UK Release Date 2018-09-25 Publication Date 2018-09-25 AU Release Date 2018-09-25 NZ Release Date 2018-09-25 US Release Date 2018-09-25 Narrator Matthew Beard Birth 1927 Affiliation Lecturer, University of Fort Hare Position Professor Qualifications J.D. Audience General Pages 272 Illustrations 1 Illustrations We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:123721450;

Price: 85.37 AUD

Location: Melbourne

End Time: 2024-11-08T03:10:59.000Z

Shipping Cost: 0 AUD