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Provably Secure Anonymous-yet-Accountable Crowdsensing with Scalable . . . 1 Introduction , such as health monitoring [1], environment mon-itoring [2], traffic prediction [3], etc However, an open cr wd-sensing platform where anyone can submit data is undesirable It is exposed to malicious and erroneous
Kovila P. L. Coopamootoo* and Thomas Groß WhyPrivacyIsAllButForgotte We conducted an empirical study to investigate the dif-ference between privacy attitude and sharing attitude A US sample of N = 60 MTurk workers was assigned to two groups and asked to describe in a 250-word free-form response what [privacy sharing] online means for them Responses were coded in quantitative content analysis The presence and frequency of codes were com-pared across
Zachary Weinberg*, Mahmood Sharif, Janos Szurdi, and Nicolas Christin . . . aries in the USA [50] Its authors were concerned that these filters might misclas-sify sexual health information as pornographic To check, they manually compiled a set of health- and porn-related keywords, expanded it to a list of 4,000 URLs by search-ing the Web without any filters active (2,500