Qian Han (Over 1,500 results)

Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.…

Paperback. Condition: Very Good. This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.…

Hardcover. Condition: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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paperback. Condition: As New. Book is in very fine condition. Spine is strong and inside pages are clean. Near new.

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Paperback. Condition: new. Paperback. Written 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.Written 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.This 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.Explore 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.You'll:Dive deep into the source code of real malwareExplore the static, dynamic, and complex features you can extract from malware for analysisMaster the machine learning algorithms useful for malware detectionSurvey the efficacy of machine learning techniques at detecting common Android malware categoriesThe Android Malware Handbook's team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come. "Explores the history of Android attacks and covers static and dynamic approaches to analyzing real malware specimens, machine-learning techniques to detect malicious apps, and how to identify banking trojans, ransomware, and SMS fraud"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: New. This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.…

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Hardcover. Condition: new. Hardcover. This is an open access book. It draws from relevant theories and approaches to teachers professional development (TPD) and innovative and inspiring TPD practices in higher education. It first lays a solid foundation for the rest of the book, through critiquing prevalent theories, approaches, and teaching competency frameworks guiding TPD in higher education, and defining the key concepts related to TPD. The book then develops a standard framework and assessment instrument of teaching competencies as well as ways of using this framework by institutions, departments at different levels, and individual teachers. It also proposes strategies for improving teachers teaching competencies by reviewing what has been achieved to date in TPD in terms of national-level policies and strategies, institutional-level interventions, and teachers self-directed professional development. Finally, it also presents case studies of typical practices in TPD in different countries. It first lays a solid foundation for the rest of the book, through critiquing prevalent theories, approaches, and teaching competency frameworks guiding TPD in higher education, and defining the key concepts related to TPD. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Soft cover. Condition: New. Language:English.Author:HAO HAN ZHANG JU XIANG LI LI QIAN.Binding:Soft cover.Publisher:China Books Publishing House Pub. Date :2007-09-01.

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Condition: As New. Unread book in perfect condition.