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Design and Implementation of a Cognitive Tool to Detect Malicious Images Using the Smart Phone

Design and Implementation of a Cognitive Tool to Detect Malicious Images Using the Smart Phone

Hiroyuki Nishiyama, Fumio Mizoguchi
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 11
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781466656819|DOI: 10.4018/ijssci.2014040102
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MLA

Nishiyama, Hiroyuki, and Fumio Mizoguchi. "Design and Implementation of a Cognitive Tool to Detect Malicious Images Using the Smart Phone." IJSSCI vol.6, no.2 2014: pp.30-40. http://doi.org/10.4018/ijssci.2014040102

APA

Nishiyama, H. & Mizoguchi, F. (2014). Design and Implementation of a Cognitive Tool to Detect Malicious Images Using the Smart Phone. International Journal of Software Science and Computational Intelligence (IJSSCI), 6(2), 30-40. http://doi.org/10.4018/ijssci.2014040102

Chicago

Nishiyama, Hiroyuki, and Fumio Mizoguchi. "Design and Implementation of a Cognitive Tool to Detect Malicious Images Using the Smart Phone," International Journal of Software Science and Computational Intelligence (IJSSCI) 6, no.2: 30-40. http://doi.org/10.4018/ijssci.2014040102

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Abstract

In this study, the authors design a cognitive tool to detect malicious images using a smart phone. This tool can learn shot images taken with the camera of a smart phone and automatically classify the new image as a malicious image in the smart phone. To develop the learning and classifier tool, the authors implement an image analysis function and a learning and classifier function using a support vector machine (SVM) with the smart phone. With this tool, the user can collect image data with the camera of a smart phone, create learning data, and classify the new image data according to the learning data in the smart phone. In this study, the authors apply this tool to a user interface of a cosmetics recommendation service system and demonstrate its effectiveness by in reducing the load of the diagnosis server in this service and improving the user service.

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