{"product_id":"the-android-malware-handbook-detection-and-analysis-by-human-and-machine-paperback","title":"The Android Malware Handbook: Detection and Analysis by Human and Machine - Paperback","description":"\u003cp\u003eby \u003cb\u003eQian Han\u003c\/b\u003e (Author), \u003cb\u003eSalvador Mandujano\u003c\/b\u003e (Author), \u003cb\u003eSebastian Porst\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\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 \u003c\/p\u003e\u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003eYou'll: \u003cp\u003e\u003c\/p\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.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eQian Han\u003c\/b\u003e, Research Scientist at Meta since 2021, received his PhD in Computer Science from Dartmouth College and his Bachelor's in Electronic Engineering from Tsinghua University, Beijing, China. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eSalvador Mandujano\u003c\/b\u003e, Security Engineering Manager at Google, has led product security engineering, malware reverse engineering and payments security teams. Before Google, he held senior security research and architecture positions at Intel and Nvidia. He has a PhD in Artificial Intelligence from Tecnolico de Monterrey, an MSc in Computer Science from Purdue, an MBA from The University of Texas, and a BSc in Computer Engineering from Universidad Nacional Automa de M騙ico. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eSebastian Porst\u003c\/b\u003e is manager of Google's Android Application Security Research team, which tries to predict or research novel attacks on Android devices and Android users by malware or through app vulnerabilities. He has an MSc Masters from Trier University of Applied Sciences, Germany in 2007. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eV.S. Subrahmanian\u003c\/b\u003e is the Walter P. Murphy Professor of Computer Science and Buffet Faculty Fellow in the Buffet Institute of Global Affairs at Northwestern University. Prof. Subrahmanian is one of the world's foremost experts at the intersection of AI and security issues. He has written eight books, edited ten, and published over 300 refereed articles. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eSai Deep Tetali\u003c\/b\u003e, Principal Engineer and Tech Lead Manager at Meta, works on privacy solutions for augmented and virtual reality applications. He spent 5 years at Google developing machine learning techniques to detect Android malware and has a PhD from University of California Los Angeles. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eYanhai Xiong\u003c\/b\u003e is currently an Assistant Professor in the Department of Computer Science and Engineering at the University of Louisville. She has a PhD from Nanyang Technological University focusing on applying AI techniques to improve the efficiency of electric vehicle infrastructure and a BS in Engineering from the University of Science and Technology of China.\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 328\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.2 x 6.9 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 07, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51765064433952,"sku":"9781718503304","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/f95f1faa5d752eecb1aaaa71ee963dc8.webp?v=1780261493","url":"https:\/\/ebocreations.com\/products\/the-android-malware-handbook-detection-and-analysis-by-human-and-machine-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}