مشاهده مشخصات مقاله
A Multi-Determiner Privacy Protection System for Pervasive Computing Environments
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نویسنده (ها) |
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Anis Yousefi
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Rasool Jalili
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Mahdi Niamanesh
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
One of the most challenging problems of pervasive computing is protecting the privacy of individuals' data by
respecting the principles of awareness and consent with minimum distraction. A suitable approach should
consider the intention of all authorized entities determining data disclosure and usage regulations. Therefore, as
an extension to current privacy protection approaches which consider only one determiner for a private data
item, we propose the idea of multi-determiner privacy protection. In this paper, we investigate possible
determiners of private data and propose a set of meta-data which are required to cover the concept of multideterminacy
including ownership-information, operators, and DELEGATION behavior. Besides, we devise and
evaluate a deadlock-free and conflict-free algorithm to manage ownership and DELEGATION scenario in
answering a request. We subsequently integrate the algorithm and the required meta-data in a multi-determiner
privacy protection architecture which works as a mediator to protect multi-determiner private data. We
demonstrate the applicability of our work through a prototype implementation and realization of a sample
scenario. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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