عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TL50615
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
Enhancing User-oriented Security and Privacy in Emerging Data Sharing and Sensing Services
نام عام مواد
[Thesis]
نام نخستين پديدآور
Hadian, Mohammad
نام ساير پديدآوران
Liang, Xiaohui
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
University of Massachusetts Boston
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
155 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
University of Massachusetts Boston
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Sharing personal information has become a well-accepted norm for receiving customized and individualized services from the service providers in the cloud. However, sharing of such private and personal information may raise severe privacy violation issues. For example, Autonomous Vehicles (AV) have the potential to fundamentally alter the current transportation systems by making vehicle sharing possible, easy, and affordable. Electronic (eHealth) and Mobile (mHealth) healthcare systems have removed the physical barriers of traditional healthcare systems and made instant and continues patient data collection and sharing possible. These services can only be made possible by sharing of personal information, such as user location data and patient health information, which both are considered highly privacy sensitive. In the first part of this dissertation, we investigate the privacy preservation issues raised by such services, and provide solutions for them. Specifically, we propose a privacy preserving task matching and scheduling framework which makes sharing of the AVs possible without leaking any user location information. For mHealth system, we propose schemes for privacy preserving patient-caregiver communications, and deferentially private patient data release. In the second part, motivated by the dramatic growth in the number of smart mobile devices such as smartphones, and the high amount of sensitive and personal information they contained, we study user-oriented security by protecting smartphones from Lunch-time and Theft attacks. Specifically, we model these attacks using sensing and analysis of wireless signals and propose solutions for detecting and preventing them. Our evaluations on collected and simulated data confirm the effectiveness of our proposed schemes.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Computer science
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Hadian, Mohammad
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Liang, Xiaohui
شناسه افزوده (تنالگان)
مستند نام تنالگان تاييد نشده
University of Massachusetts Boston
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
