{"product_id":"9781593278595","title":"Malware Data Science: Attack Detection and Attribution","description":"\u003cp\u003e\u003cb\u003e\u003ci\u003eMalware Data Science\u003c\/i\u003e explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eSecurity 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, you'll need to know how to think like a data scientist.\u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eMalware Data Science\u003c\/i\u003e, 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. \u003c\/p\u003e\u003cp\u003eYou'll learn how to:\u003cbr\u003e- Analyze malware using static analysis\u003cbr\u003e- Observe malware behavior using dynamic analysis\u003cbr\u003e- Identify adversary groups through shared code analysis\u003cbr\u003e- Catch 0-day vulnerabilities by building your own machine learning detector\u003cbr\u003e- Measure malware detector accuracy\u003cbr\u003e- Identify malware campaigns, trends, and relationships through data visualization\u003c\/p\u003e\u003cp\u003eWhether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, \u003ci\u003eMalware Data Science\u003c\/i\u003e will help you stay ahead of the curve.\u003c\/p\u003e","brand":"No Starch Press San Francisco, CA","offers":[{"title":"Default Title","offer_id":47053297647856,"sku":"9781593278595","price":49.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781593278595_p0.jpg?v=1763812262","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781593278595","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}