By a News Reporter-Staff News Editor at Journal of Engineering -- Investigators publish new report on Networks - Computer Networks. According to news reporting originating from Heilongjiang, People’s Republic of China, by VerticalNews correspondents, research stated, “Mobile devices are now pervasive to provide prolific services to the users meanwhile collect the information derived from the activities of the individuals with the onboard sensors. Classification and authentication are popular provided services of many mobile applications which have high probability to involve the sensitive information of the users.”
Funders for this research include National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang province, China Postdoctoral Science Foundation.
Our news editors obtained a quote from the research from Harbin Engineering University, “In this paper, we propose a new cloud-enabled and Privacy preserving sparse representation classification (P-2-SRC) system to protect the privacy of both the ‘data contributors’ and ‘application users’ when cloud server is untrusted. Different from the state-of-the-art approaches which only consider the attacks on data values, our proposed system, P-2-SRC, addresses multiple types of privacy attacks including Content Privacy Attacks, Source Privacy Attacks and Label Privacy Attacks. As a result, besides the data values, in P-2-SRC, the identities and activities of the users are also protected. According to our evaluations on two different classification applications (face recognition and activity recognition), 22-SRC achieves almost the same classification accuracy compared with traditional SRC approach which indicates the security add-ons do not affect the accuracy of the SRC classifier. We also demonstrate that it outperforms the most related work, Pickle, significantly on recognition accuracy and privacy protections.”
According to the news editors, the research concluded: “Meanwhile the implementation of 22-SRC in a face recognition application on smartphones demonstrates that P-2-SRC based authentication system accounts for only 0.000041% of the total energy supply of a normal smartphone and the average responding time is around 1.1 s for each recognition request.”
For more information on this research see: Privacy-preserving sparse representation classification in cloud-enabled mobile applications. Computer Networks , 2018;133():59-72. Computer Networks can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Computer Networks - http://www.journals.elsevier.com/computer-networks/)
The news editors report that additional information may be obtained by contacting Y.R. Shen, Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Heilongjiang, People’s Republic of China. Additional authors for this research include C.W. Luo, D. Yin, H.K. Wen, R. Daniela and W. Hu.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.comnet.2018.01.035. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-04-23), Reports Summarize Computer Networks Study Results from Harbin Engineering University (Privacy-preserving sparse representation classification in cloud-enabled mobile applications), Journal of Engineering, 1291, ISSN: 1945-872X, BUTTER® ID: 015545323
From the newsletter Journal of Engineering.
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