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2. PHD Thesis / Tesis PHD
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Title:	Permission-based privacy framework using pseudo data technique and cloud decision-making system in Android environment
Authors:	Seyedmostafa Safavi (P65590)
Supervisor:	Zarina Shukur, Prof. Dr.
Keywords:	Android (Electronic resource) Cloud computing Artificial intelligence Dissertations, Academic -- Malaysia Universiti Kebangsaan Malaysia -- Dissertations
Issue Date:	6-Apr-2015
Description:	With mobile applications and associated services becoming increasingly popular, concerns are being raised about security vulnerabilities and private data leakages of smartphone users. Previous solutions to this well-known set of problems have approached it from the ground up, whereby the focus was on implementing reasonable security policies within Android's open source kernel. While these solutions have achieved the goals of improving Android, the way in which the policies have been implemented required re-writing the operating system source code, which is unnecessary and burdensome. In this work, a framework referred to as CenterYou is proposed to overcome these issues. It applies pseudo data technique and cloud-based decision-making system to scan and protect smartphone devices from unnecessarily requested permissions by installed applications and identifies potential privacy leakages. In order to protect user privacy, the framework features will either block the requested information or provide pseudo data to the application. Self-management and consultation will also be provided for all installed applications. Following an extensive literature review, which provided understanding of the current solution and good HCI principles, the new approach was developed. The installed applications are isolated until the user created the new permission list for the specific application manually, or allowed the cloud decision-making system to do so by opting for the 'autopilot' mode of operation. Here, Dalvik hooking method is used to design and manipulate the permissions data in the application manifest file, as a means of privacy protection. The framework was evaluated by creating a prototype application and performing a usability study. The findings of a pilot study involving seven participants indicate that 80.2% are satisfied with CenterYou, compared to only 19.8% that favored similar alternative frameworks. With the help of Dalvik hooking method and cloud processing, the application also benefits from contributing only 0.01 percent to the mobile total CPU usage.,Ph.D.
Pages:	217
Call Number:	QA76.774.A53S236 2015 3 tesis
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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