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4.9 ★★★★★
Based on 649 reviews
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Product Reviews
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it.
The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform.
Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering.
The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
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Reviewed in the United States on October 14, 2024
★★★★★ 5
Great messages for toddlers
Format: Paperback
Great little book to teach toddlers why hitting is not acceptable. Nice messages, cute pictures. Overall, a good book to help with this challenging problem in toddlers and 3-5 year old boys.
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Reviewed in the United States on March 21, 2026
★★★★★ 5
Excellent product
Format: Paperback
This book actually got my 5 year old son to stop hitting his younger sister.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
★★★★★ 5
Very well written, great coping ideas for toddlers!
Format: Paperback, Format: Paperback
A little backstory - my son hits. It’s not like aggressive but he is 19 months and tends to use his hands when he is frustrated.
That being said I am genuinely impressed with this book. It seems long but it’s not. It’s a good length but my toddler was able to sit through the whole thing. It has plenty of pictures for each coping skill, making it one skill per page.
My son seemed to really be paying attention and absorbing the book. The author did well putting things in simpler terms while also continuing to repeat why hitting is bad. The author describes many different ways why hitting hurts, makes people sad, hurts them physically and mentally.
It’s all inclusive, different kids that all look different. That was a bonus for me. I love books who acknowledge us all. It teaches our children to do the same.
Pages are sturdy, they are paper not that waxy laminated material. But they’re thick and the book is structured well.
Books are such an important part of children’s development and vocabulary. My son has learned a whole new vocabulary. This book has helped him put faces, pictures to his feelings. It has made those feelings real and seen.
Sign me up for all the books like this!
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Reviewed in the United States on October 8, 2024
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