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Techinical Report, Cryptology ePrint Archive, Report 2016/086, 20 16. Give you five papers to summarize find in( security big data folder) and follow the same steps and idea as in (my paper file) the attached file . To protect individual privacy, only the records belonging to government watch lists may be shared. Mckinsey & Company. BIG DATA PROGRAM In the big data program in the School of Computing at the University of Utah, students will take classes from tenure-track Network Security Parallel Programming for GPUs/Many Cores/Multi-Cores Big Data Certificate or thesis Big Data PhD (PhD in Computing) CORE CLASSES + 3 electives and PhD thesis Especially, recent developments in machine learning techniques have created important novel applications in many fields ranging from health care to social networking while creating important privacy challenges. (Accessed on 10/17/2016), Shaon, F., and Kantarcioglu, M. (2016). doi: 10.1109/BigData.2015.7363786. doi: 10.1145/3097983.3098082. Still, several important issues need to be addressed to capture the full potential of big data. Big Data 2:1. doi: 10.3389/fdata.2019.00001. Big Data Master Thesis gives highly challengeable opportunities for you to process your ability by universal shaking achievements to this world. Inan, A., Kantarcioglu, M., Bertino, E., and Scannapieco, M. (2008). The main thesis topics in Big Data and Hadoop include applications, architecture, Big Data in IoT, MapReduce, Big Data Maturity Model etc. It has been shown that machine learning results may be used to infer sensitive information such as sexual orientation, political affiliation (e.g., Heatherly et al., 2013), intelligence (e.g., Kosinski et al., 2013) etc. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. Big data Adversarial data mining: Big data meets cyber security, in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (Vienna), 18661867. As reports from McKinsey Global Institute (Mckinsey et al., 2011) and the World Economic Forum (Schwab, 2016) suggest, capturing, storing and mining big data may create significant value in many industries ranging from health care to government services. Summary of Article Using big data surveillance means to obtain vast amount of data which is then stored, combined and analysed, to eventually create patterns that reveals trends used for governance, These are equally rich and complementary areas for research that are important for secure and confidential use of big data. 9652 of Lecture Notes in Computer Science eds J. Bailey, L. Khan, T. Washio, G. Dobbie, J. Knowl. Buragohain, C., Agrawal, D., and Suri, S. (2003). Z. Huang, and R. Wang (Auckland: Springer), 350362. Ohrimenko, O., Schuster, F., Fournet, C., Mehta, A., Nowozin, S., Vaswani, K., et al. *Correspondence: Murat Kantarcioglu, muratk@utdallas.edu, Front. Therefore, more research is needed to scale these techniques without sacrificing security guarantees. Privacy preserving keyword searches on remote encrypted data, in Proceedings of ACNS'05 (New York, NY), 442455. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years. Zhou, Y., and Kantarcioglu, M. (2016). Possibility of sensitive information mining 5. Research builds on previous research and a worthwhile thesis will reflect a familiarity with Study on Big Data in Public Health, Telemedicine and Healthcare December, 2016 4 Abstract - French Lobjectif de ltude des Big Data dans le domaine de la sant publique, de la tlmde- cine et des soins mdicaux est didentifier des exemples applicables des Big Data de la Sant et de dvelopper des recommandations dusage au niveau de lUnion Europenne. 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