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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Security and privacy in app ecosystems

Taylor, Vincent January 2017 (has links)
Smartphones are highly-capable mobile computing devices that have dramatically changed how people do business, interact with online services, and receive entertainment. Smartphone functionality is enhanced by an ecosystem of apps seemingly covering the entire gamut of functionality. While smartphone apps have undoubtedly provided immeasurable benefit to users, they also contribute their fair share of drawbacks, such as increases in security risks and the erosion of user privacy. In this thesis, I focus on the Android smartphone operating system, and pave the way for improving the security and privacy of its app ecosystem. Chapter 3 starts by doing a comprehensive study on how Android apps have evolved over a three-year period, both in terms of their dangerous permission usage and the vulnerabilities they contain. It uncovers a trend whereby apps are using increasing numbers of dangerous permissions over time and at the same time becoming increasingly vulnerable to attack by adversaries. By analysing the Google Play Store, Android's official app marketplace, Chapter 4 shows that many general-purpose apps can be replaced with functionallysimilar alternatives to the benefit of the user. This confirms that users still wield power to improve their own security and privacy. Chapter 5 combines this insight with real-world data from approximately 30,000 smartphones to understand the actual risk that the average user faces as a result of their use of apps, and takes an important first step in measuring the improvements that can be made. Users, however, are not always aware of the risks they face and thus Chapter 6 demonstrates the feasibility of a classification system that can transparently and unobtrusively identify and alert users to the presence of apps of concern on their devices. This classification system identifies apps from features in the network traffic they generate, without itself analysing the payload of their traffic, thus maintaining a high threshold of privacy. While the work presented in this thesis has uncovered undesirable trends in app evolution, and shows that a large fraction of users are exposed to non-trivial risk from the apps they use, in many cases there is suficient diversity in the offerings of general-purpose apps in the Google Play Store to empower users to mitigate the risks coming from the apps they use. This work takes us a step further in keeping users safe as they navigate and enjoy app ecosystems.
2

<b>EXPLORING FACTORS INFLUENCING ADOPTION AND USAGE OF PRIVACY-ENHANCING TOOLS AMONG SMARTPHONE USERS</b>

Renusree Varma Mudduluru (18859075) 24 June 2024 (has links)
<p dir="ltr">In this era of digital surveillance and data breaches, it is important to understand how users protect their smartphone privacy. There needs to be more detailed information regarding the prevalence, factors, and motivations influencing the adoption of privacy-enhancing tools and settings on mobile devices. This study aimed to address this knowledge gap by investigating the use of privacy tools among smartphone users and examining the impact of factors like demographics, awareness levels, and device platforms.</p><p dir="ltr">The study surveyed 342 participants recruited through Amazon Mechanical Turk (MTurk), and the data were analyzed. The survey gathered data on user characteristics, privacy concerns, experiences with breaches, and use of various privacy tools. Statistical analysis showed that demographic factors, particularly age, significantly influenced the use of privacy tools, aligning with previous research. Users with a higher awareness of digital privacy risks were likelier to adopt privacy-enhancing tools. The study found no significant difference in the prevalence and type of privacy tools used between iOS and Android users.</p><p dir="ltr">The study's focus on privacy-enhancing tools among smartphone users and the proposed hypotheses provide valuable insights for law enforcement and forensic practitioners, aiding in digital investigations, evidence collection, and understanding user behavior related to smartphone privacy measures. The study's outcomes contribute to digital forensics, cybersecurity, and privacy domains by providing insights into user behaviors, motivations, and the factors shaping privacy tool adoption on smartphones. These findings can inform the development of more user-centric privacy tools, policies, and educational campaigns, ultimately enhancing digital privacy protection and supporting law enforcement investigations in the digital age.</p>

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