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Este manual visa servir de referência para o conteúdo e para as atividades da disciplina MA225 (Análise de Livros e Material Didático de Matemática), oferecida regularmente aos cursos de licenciatura em Matemática da Universidade Estadual de Campinas (Unicamp).

Этот шаблон документа разработан в 2014 году Данилом Фёдоровых (danil@fedorovykh.ru) для использования в курсе >, записанном НИУ ВШЭ для Coursera.org: http://coursera.org/course/latex. Исходная версия шаблона --- https://www.writelatex.com/coursera/latex/2.

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Official letters from employees as the University of Oslo.

Presentation for Senior Research Capstone at Northeastern University

(Final version) Can a Smartphone be specifically identified according to the behavior or actions of the user? Smartphones are nowadays widely used especially due to their numerous functionalities. These devices act like small computers as they have many functions such as internet connection, emailing, chats, social media among others. A lot of traffic is therefore generated from these devices and adversaries may use the traffic to attack the smartphones. Traffic generated by smartphones may be used to interfere with user privacy. Information collected from the traffic can be used to create specific fingerprints that will identify a particular device. This is seen from the two articles reviewed in this paper. Both papers investigate how traffic from a smartphone can be used by attackers to infringe user privacy. Though different methods are used in the studies, the results indicate that user privacy can be infringed.

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ME310 Report Template -- Started 28 July 2006 Mark Cutkosky 24Nov2016: Changes in ordering and content to go with the revised schedule for ME310A in 2016-17

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