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Joshua, A., Waziri, O.V., Abdullahi, M.B., Arthur, U.M. and Adewale, O.S. (2015) A Machine Learning Approach to Anomaly-Based Detection on Android Platforms. International Journal of Network Security & Its Applications, 7, 15-35.
https://doi.org/10.5121/ijnsa.2015.7602

has been cited by the following article:

• TITLE: Design and Implementation of E-Commerce Platform Based on Android

  AUTHORS: Jie Shen, Guiling Sun, Yangyang Li

  KEYWORDS: Android, E-Commerce, Network Communication, Image Display, Product Traceability

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.8, August 31, 2018

  ABSTRACT: This paper introduces the basic functions of the e-commerce system implemented on Android, including user management functions, product search functions, product browsing functions, and product tracking functions, etc. It is necessary to use technologies in Android in order to implement each module function. For example, network communication requires Android’s network request technology and data analysis technology. The display of pictures requires the use of Android controls and cache technology. The traceability of products requires camera scanning technology. And RSA decryption technology and so on. Through the above thread pool technology and the use of caching mechanism, the user experience of UI will be improved and unnecessary network resources consumption will be avoided.