Background: Data privacy and security has been a big concern in recent years. Data privacy is a concern for everybody who owns a smartphone or accesses a website. This is due to the applications that have been installed on the device or the cookies that have been acquired via websites in the form of advertising cookies. Advertising cookies within programs or sites that track user content provide access to all of the user’s personal sensitive data. The viability of applying conditional consent to boost consumers’ trust in sharing their data is examined in this study. We assess the societal and technological implications of conditional consent implementation. This is accomplished by integrating a third option – maybe – into the access control mechanism. Research Idea: After reviewing all of the issues concerning user privacy breaches in android applications, we came up with the idea of implementing a Maybe option in which the user can grant access to the permissions for a specified period of time and then automatically disable those permissions at the end of that period. Objectives and Research Methods: The primary goal of our work is to determine the feasibility of implementing partial consent on Android applications, as well as how users understand and are willing to use this suggested option. We chose Experiment, Systematic mapping study, and survey as our study methods. Results: We built a permissions application prototype and provided an option maybe where the user may grant rights for a certain period of time and then automatically deactivate the permissions. Using a poll, many people chose the offered choice and fully comprehended the Maybe option. Conclusions: We understood the usability aspect of the proposed option. The respondents accepted the proposed option and felt the desire for the proposed option. This can cause a change in the security aspects of providing data to the third party applications. Keywords: Partial consent, Access control, Data Privacy, Data Security, Usability Aspect.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-22701 |
| Date | January 2022 |
| Creators | Nallamilli, Mohan Krishna Reddy, Jagatha, Satya Venkat Naidu |
| Publisher | Blekinge Tekniska Högskola, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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