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comprehensive update to Learning iOS Forensics * This practical book will not only cover the critical aspects of digital forensics, but also mobile;
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recovery tools, then this book is for you. This book will be helpful for students learning forensics, as well as experienced iOS developers;
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vulnerabilities and strengthen the system from attacks. Learning iOS Penetration Testing discusses the common vulnerabilities and security-related;
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iPhone and iOS Forensics is a guide to the forensic acquisition and analysis of iPhone and iOS devices, and offers practical advice on how;
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well as forensic methods for extracting evidence. There are books on specific issues like Android forensics or iOS forensics, but there is not;
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well as forensic methods for extracting evidence. There are books on specific issues like Android forensics or iOS forensics, but there is not;
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Examine how to keep iOS devices safe in the physical world, including creating company policies for iPhones; assessing and defending;
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walkthrough the various phases of the mobile forensics process for both Android and iOS-based devices, including forensically extracting, collecting;
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Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;
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Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple;
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methodologies used, key technical concepts, and the tools needed to perform examinations. Mobile operating systems such as Android, iOS;
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contributions are covering the following topics: deep learning for multimedia security; digital forensics and anti-forensics; digital watermarking;
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Boost your iOS developer career by learning from real-life examples and start writing code for one of the most successful platforms ever.;
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Explore the distinctive design principles that define the iOS user experience Train and use machine learning models with Core ML 2 and Create ML;
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Implementing Cisco IOS Network Security (IINS) Foundation Learning Guide Second Edition Foundation learning for the CCNA Security IINS;
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users and organizations can prepare for potential negative events. Adopting an experiential learning approach, this book describes how cyber;
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0;...
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secure network. Topics and features: provides learning objectives in every chapter, and review questions throughout the book to test;
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Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple's Core ML;
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applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;
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applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;
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and configure Android SDK and ADB * Analyze Android Permission Model using ADB and bypass Android Lock Screen Protection * Set up the iOS;
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using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence;
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using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence;
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