product
3450537Malware Data Sciencehttps://www.gandhi.com.mx/malware-data-science-9781593278601/phttps://gandhi.vtexassets.com/arquivos/ids/3747246/e906b83c-6771-416d-add2-43381ac1f3b1.jpg?v=638683266663500000669929MXNNo Starch PressInStock/Ebooks/<p><strong><em>Malware Data Science</em> explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.</strong></p><p>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.</p><p>In <em>Malware Data Science</em>, 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.</p><p>Youll learn how to:<br />- Analyze malware using static analysis<br />- Observe malware behavior using dynamic analysis<br />- Identify adversary groups through shared code analysis<br />- Catch 0-day vulnerabilities by building your own machine learning detector<br />- Measure malware detector accuracy<br />- Identify malware campaigns, trends, and relationships through data visualization</p><p>Whether youre a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, <em>Malware Data Science</em> will help you stay ahead of the curve.</p>...3386521Malware Data Science669929https://www.gandhi.com.mx/malware-data-science-9781593278601/phttps://gandhi.vtexassets.com/arquivos/ids/3747246/e906b83c-6771-416d-add2-43381ac1f3b1.jpg?v=638683266663500000InStockMXN99999DIEbook20189781593278601_W3siaWQiOiJhM2JkMjM1NS0xN2JiLTRlZjEtOWY0ZS04NjlkYmZkNDhiODgiLCJsaXN0UHJpY2UiOjkyOSwiZGlzY291bnQiOjI2MCwic2VsbGluZ1ByaWNlIjo2NjksImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI1LTA4LTI4VDE4OjAwOjAwWiIsInRvIjoiMjAyNS0wOS0zMFQyMzo1OTo1OVoiLCJyZWdpb24iOiJNWCIsImlzUHJlb3JkZXIiOmZhbHNlfSx7ImlkIjoiOGE1ZGIyZTEtN2I2OC00Y2ZmLWI1NTUtMWRiOTQ4NTI3Y2M3IiwibGlzdFByaWNlIjo4OTUsImRpc2NvdW50IjoyNTAsInNlbGxpbmdQcmljZSI6NjQ1LCJpbmNsdWRlc1RheCI6dHJ1ZSwicHJpY2VUeXBlIjoiV2hvbGVzYWxlIiwiY3VycmVuY3kiOiJNWE4iLCJmcm9tIjoiMjAyNS0xMC0wMVQwMDowMDowMFoiLCJyZWdpb24iOiJNWCIsImlzUHJlb3JkZXIiOmZhbHNlfV0=9781593278601_<p><strong><em>Malware Data Science</em> explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.</strong></p><p>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.</p><p>In <em>Malware Data Science</em>, 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.</p><p>Youll learn how to:<br />- Analyze malware using static analysis<br />- Observe malware behavior using dynamic analysis<br />- Identify adversary groups through shared code analysis<br />- Catch 0-day vulnerabilities by building your own machine learning detector<br />- Measure malware detector accuracy<br />- Identify malware campaigns, trends, and relationships through data visualization</p><p>Whether youre a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, <em>Malware Data Science</em> will help you stay ahead of the curve.</p>(*_*)9781593278601_<p><strong><em>Malware Data Science</em> explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.</strong></p><p>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.</p><p>In <em>Malware Data Science</em>, 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.</p><p>Youll learn how to:<br />- Analyze malware using static analysis<br />- Observe malware behavior using dynamic analysis<br />- Identify adversary groups through shared code analysis<br />- Catch 0-day vulnerabilities by building your own machine learning detector<br />- Measure malware detector accuracy<br />- Identify malware campaigns, trends, and relationships through data visualization</p><p>Whether youre a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, <em>Malware Data Science</em> will help you stay ahead of the curve.</p>...9781593278601_No Starch Presslibro_electonico_38289a15-902e-3e3f-892b-4dfd6cd6c39d_9781593278601;9781593278601_9781593278601Hillary SandersInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/randomhousewh-epub-158ea63e-2ffa-4bc2-a1de-d819dbe418c8.epub2018-09-25T00:00:00+00:00No Starch Press