{"product_id":"9781718503304","title":"The Android Malware Handbook: Detection and Analysis by Human and Machine","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eHan, Qian; Mandujano, Salvador; Porst, Sebastian; Subrahmanian, V.S.; Tetali, Sai Deep; Xiong, Yanhai\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo Starch Press\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e11\/7\/2023\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eWritten by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThis groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google’s Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.\u003cbr\u003e\u003cbr\u003eExplore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.\u003cbr\u003e\u003cbr\u003eYou’ll:\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eDive deep into the source code of real malware\u003c\/li\u003e\n\u003cli\u003eExplore the static, dynamic, and complex features you can extract from malware for analysis\u003c\/li\u003e\n\u003cli\u003eMaster the machine learning algorithms useful for malware detection\u003c\/li\u003e\n\u003cli\u003eSurvey the efficacy of machine learning techniques at detecting common Android malware categories\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ci\u003eThe Android Malware Handbook\u003c\/i\u003e’s team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":44214108586239,"sku":"9781718503304","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/9781718503304_s600x595.jpg?v=1775589089","url":"https:\/\/massivebookshop.com\/de\/products\/9781718503304","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}