Front Inner Page - Volume 3 No.6 December 2016

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  • Title

    :

    Secure Privacy Preserving Techniques In Smart Phones : A Review

    Authors

    :

    M.Malinipriya1, P.Tharics2, M.Senthil Kumar2

    Keywords

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    Time Homogenous Markov model(HMM), Sensor application, Fingerprint sensor, Mask IT, Naïve fake

    Issue Date

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    December 2016

    Abstract

    :

    The context aware applications are blooming with increasing the popularity of smartphones with sensors, these sensor applications arises the privacy is the major challenging issue because users can easily access these applications. It provides the secure scheme for context aware applications and also identifies the location of unauthorized person by using a Time Homogenous Markov Model. First, we design the privacy of context aware application by using the smart phone sensors such as GPS and fingerprint sensor, then the sensor information that provide secure communication for the smart phone users. Our second method focuses to identify the location of unauthorized user by using the Time Homogenous Markov Model, which identifies the exact location of fake user. Our context aware applications work both with and without internet which is achieving the frequent pattern generation technique. Finally, this method compares the utility and privacy with the Mask IT, naïve fake and efficient fake.

    Page(s)

    :

    1-4

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 3, No.6, December 2016

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