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The new service of providing analytics of complicated big data via mobile cloud computing to fulfil businesses needs by utilizing both Infrastructure as a service (IaaS) and Software as a Service (SaaS), is called Big Data as a Service (BDaaS). “Practical techniques for searches on encrypted data,” in IEEE SP (Washington, DC), 44–55. For example, a sophisticated group of cyber attackers may create malware that can evade all the existing signature-based malware detection tools using zero day exploits (i.e., software bugs that were previously unknown). Available online at: https://www.europol.europa.eu/activities-services/main-reports/internet-organised-crime-threat-assessment-iocta-2017. “Oblivious multi-party machine learning on trusted processors,” in 25th USENIX Security Symposium (USENIX Security 16) (Austin, TX: USENIX Association), 619–636. Ohrimenko, O., Schuster, F., Fournet, C., Mehta, A., Nowozin, S., Vaswani, K., et al. Still, it is shown that given large amount of data, these techniques can provide useful machine learning models. On the other hand, some practical risk–aware data sharing tools have been developed (e.g., Prasser et al., 2017). To protect individual privacy, only the records belonging to government watch lists may be shared. These observations indicate that understanding how to provide scalable, secure and privacy-aware access control mechanisms for the future big data applications ranging from personalized medicine to Internet of Things systems while satisfying new regulatory requirements would be an important research direction. Individuals may encrypt the drive, which will establish a complicated code on the drive and make it nearly impossible for unauthorized users to access the content. Another important advantage of big data is data analytic. Heatherly, R., Kantarcioglu, M., and Thuraisingham, B. M. (2013). 1 !!!! important implications for security in these technologies. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. doi: 10.1145/3078861.3078871. doi: 10.1145/2976749.2978318, Akcora, C. G., Gel, Y. R., and Kantarcioglu, M. (2017). %��������� This voluminous of data which is generated daily has brought about new term which is referred to as big data. A practical approach to achieve private medical record linkage in light of public resources. “Incentive compatible distributed data mining,” in Proceedings of the 2010 IEEE Second International Conference on Social Computing, SocialCom/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010, Minneapolis, Minnesota, USA, August 20-22, 2010, eds A. K. Elmagarmid and D. Agrawal (Minneapolis, MN: IEEE Computer Society), 735–742. Byun, J.-W., and Li, N. (2008). “Hawk: the blockchain model of cryptography and privacy-preserving smart contracts,” in 2016 IEEE Symposium on Security and Privacy (SP) (San Jose, CA: IEEE), 839–858. doi: 10.1145/2976749.2976753, Kosba, A., Miller, A., Shi, E., Wen, Z., and Papamanthou, C. (2016). Blockchain: A Graph Primer. Hence a future dataset will no longer share the same properties as the current datasets. include, for example, systems for collecting data privately, access control in web and social networking applications, data security and cryptography, and protocols for secure computation. At the same time, it is not clear whether the organizations who collect the privacy sensitive data always process the data according to user consent. Correspondence: Murat Kantarcioglu, M., and R. Wang ( Auckland: Springer ), focuses on data... Is advised to perform them on a methodological experiment with ‘ big data ’ in the bitcoin,... 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