How Long to Read Android Malware Detection using Machine Learning

How Long Does it Take to Read Android Malware Detection using Machine Learning?

It takes the average reader 3 hours and 33 minutes to read Android Malware Detection using Machine Learning by ElMouatez Billah Karbab

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Android Malware Detection using Machine Learning?

Android Malware Detection using Machine Learning by ElMouatez Billah Karbab is 212 pages long, and a total of 53,424 words.

This makes it 72% the length of the average book. It also has 65% more words than the average book.

How Long Does it Take to Read Android Malware Detection using Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 51 minutes to read Android Malware Detection using Machine Learning aloud.

What Reading Level is Android Malware Detection using Machine Learning?

Android Malware Detection using Machine Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Android Malware Detection using Machine Learning?

Android Malware Detection using Machine Learning by ElMouatez Billah Karbab is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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