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Confidential Data Storage Systems for Wearable Platforms

Confidential Data Storage Systems for Wearable Platforms

Mingzhong Wang, Don Kerr
Copyright: © 2017 |Pages: 24
ISBN13: 9781522510161|ISBN10: 1522510168|EISBN13: 9781522510178
DOI: 10.4018/978-1-5225-1016-1.ch004
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MLA

Wang, Mingzhong, and Don Kerr. "Confidential Data Storage Systems for Wearable Platforms." Managing Security Issues and the Hidden Dangers of Wearable Technologies, edited by Andrew Marrington, et al., IGI Global, 2017, pp. 74-97. https://doi.org/10.4018/978-1-5225-1016-1.ch004

APA

Wang, M. & Kerr, D. (2017). Confidential Data Storage Systems for Wearable Platforms. In A. Marrington, D. Kerr, & J. Gammack (Eds.), Managing Security Issues and the Hidden Dangers of Wearable Technologies (pp. 74-97). IGI Global. https://doi.org/10.4018/978-1-5225-1016-1.ch004

Chicago

Wang, Mingzhong, and Don Kerr. "Confidential Data Storage Systems for Wearable Platforms." In Managing Security Issues and the Hidden Dangers of Wearable Technologies, edited by Andrew Marrington, Don Kerr, and John Gammack, 74-97. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1016-1.ch004

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Abstract

With the features of mobility, reality augmentation, and context sensitivity, wearable devices are widely deployed into various domains. However, the sensitivity of collected data makes security and privacy protection one of the first priority in the advancement of wearable technologies. This chapter provides a study on encryption-based confidentiality protection for data storage systems in wearable platforms. The chapter first conducts a review to storage solutions in consumer wearable products and explores a two-tier, local flash memory and remote cloud storage, storage system in wearable platforms. Then encryption-based confidentiality protection and implementation methods for both flash memory and remote cloud storage are summarized. According to the interaction and integration of these two components, a categorization of confidential storage systems in wearable platforms is proposed. In addition, the benefits and selection criteria for each category are also discussed.

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