Android Malware And Analysis
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The Android Malware Handbook
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Author : Qian Han
language : en
Publisher: No Starch Press
Release Date : 2023-11-07
The Android Malware Handbook written by Qian Han and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Computers categories.
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 malware Explore the static, dynamic, and complex features you can extract from malware for analysis Master the machine learning algorithms useful for malware detection Survey the efficacy of machine learning techniques at detecting common Android malware categories The 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.
Android Malware And Analysis
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Author : Ken Dunham
language : en
Publisher: CRC Press
Release Date : 2014-10-24
Android Malware And Analysis written by Ken Dunham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-24 with Computers categories.
The rapid growth and development of Android-based devices has resulted in a wealth of sensitive information on mobile devices that offer minimal malware protection. This has created an immediate need for security professionals that understand how to best approach the subject of Android malware threats and analysis.In Android Malware and Analysis, K
Learning Android Malware Analysis
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Author :
language : en
Publisher:
Release Date : 2019
Learning Android Malware Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Learn the tools and techniques needed to detect and dissect malicious Android apps.
Android Malware Detection Using Machine Learning
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Author : ElMouatez Billah Karbab
language : en
Publisher: Springer Nature
Release Date : 2021-07-10
Android Malware Detection Using Machine Learning written by ElMouatez Billah Karbab and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-10 with Computers categories.
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.
Improving The Effectiveness Of Automatic Dynamic Android Malware Analysis
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Author : 沈穎志
language : en
Publisher:
Release Date : 2013
Improving The Effectiveness Of Automatic Dynamic Android Malware Analysis written by 沈穎志 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Malware Analysis Using Artificial Intelligence And Deep Learning
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2020-12-20
Malware Analysis Using Artificial Intelligence And Deep Learning written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
Android Malware Analysis Defensive Exploitation 2025 Hinglish Edition
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Author : A. Clarke
language : en
Publisher: Code Academy
Release Date : 2025-10-07
Android Malware Analysis Defensive Exploitation 2025 Hinglish Edition written by A. Clarke and has been published by Code Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-07 with Computers categories.
“Android Malware Analysis & Defensive Exploitation 2025 (Hinglish Edition)” by A. Clarke ek practical aur responsible guide hai jo Android apps aur mobile threats ko analyse, detect, aur mitigate karna sikhata hai — sab Hinglish (Hindi + English mix) mein.
Android Malware Detection And Adversarial Methods
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Author : Weina Niu
language : en
Publisher: Springer Nature
Release Date : 2024-05-23
Android Malware Detection And Adversarial Methods written by Weina Niu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Computers categories.
The rise of Android malware poses a significant threat to users’ information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.
Analysis And Classification Of Android Malware
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Author : Kimberly Tam
language : en
Publisher:
Release Date : 2016
Analysis And Classification Of Android Malware written by Kimberly Tam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Learning Android Malware Analysis
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Author :
language : en
Publisher:
Release Date : 2019
Learning Android Malware Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
In response to the exponential growth of mobile device use, malicious apps have increased. Yet the industry is lacking professionals capable of identifying and combating these threats. Adding malware analysis to your skill set can help set you apart to employers and clients-and help you keep your users and organization safe. Security intelligence engineer Kristina Balaam introduces the basic tools and techniques needed to detect and dissect malicious Android apps. Learn how to set up your analysis lab, with tools like APKTool, Dex2Jar, and JD-Project, and find malicious apps to deconstruct. Kristina shows how to search the codebase for indicators of malicious activity, and provides a challenge and solution set that allows you to practice your new skills.