December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Mobile security
ML can be used for facial recognition tools that may be used for authentication and authorization of usage of applications in mobile devices.
Microsoft, Google, and others are working extensively in this area to secure their operating systems, as well as the mobile applications present in these OSes, from getting attacked by security threats.
Google has also rolled out an ML algorithm, called peer group analysis. This helps to identify harmful applications from the Google Play store, by tracking applications that unnecessarily collect or send data without any specific need.
Z9 software from Zimperium is an example of mobile device malware detection software that leverages ML to implement mobile security.
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