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Amin, A., Eldessouki, A., Magdy, M.T., Abdeen, N., Hindy, H. and Hegazy, I. (2019) Androshield: Automated Android Applications Vulnerability Detection, a Hybrid Static and Dynamic Analysis Approach. Information, 10, Article No. 326. https://doi.org/10.3390/info10100326

has been cited by the following article:

• TITLE: Secure Cloud Based Approach for Mobile Devices User Data

  AUTHORS: Oscar Mbae, David Mwathi, Edna Too

  KEYWORDS: Threats, Vulnerabilities, Mobile Data Storage, Data Security

  JOURNAL NAME: Open Access Library Journal, Vol.9 No.9, September 27, 2022

  ABSTRACT: In this era characterized by rapid technological innovations, mobile devices such as tablets and smartphones have become inevitable due to the variety of services they offer. These devices are susceptible to loss due to their small portable sizes. The personal identification numbers (PIN) and patterns used as security controls have minimal encryption. One of the main challenges of using mobile devices is the risk of private and/or confidential data stored in the device’s internal memory being exposed to unauthorized persons and the risk of permanent loss and/or damage of that data. The objective of the study is to analyze existing security solutions for mobile devices user data storage and propose a secure approach to address possible security threats and vulnerabilities to these solutions. The solution provides mobile device users with the ability to securely store/retrieve their data anytime and from anywhere even in the event of device loss. Furthermore, mobile device manufacturers are able to leverage on the solution and patch their systems in order to improve on mobile device data storage security. The research highlights existing threats and vulnerabilities to existing mobile data storage devices. This helps in creating awareness to mobile device users who as a result are expected to be more vigilant and can also utilize proposed precautionary measures.