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Ensuring security and privacy in a p...

Shin, Heechang.

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Ensuring security and privacy in a personalized mobile environment.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Ensuring security and privacy in a personalized mobile environment./
作者:	Shin, Heechang.
面頁冊數:	256 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-01, Section: B, page: .
Contained By:	Dissertation Abstracts International72-01B.
標題:	Information Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3428090
ISBN:	9781124336282

Ensuring security and privacy in a personalized mobile environment.
Shin, Heechang.

Ensuring security and privacy in a personalized mobile environment. - 256 p.

Source: Dissertation Abstracts International, Volume: 72-01, Section: B, page: .

Thesis (Ph.D.)--Rutgers The State University of New Jersey - Newark, 2010.

Services in a mobile environment are based on the locations of mobile users. Personalization, based on the profiles of mobile users, significantly increases the value of such services. However, they pose significant security and privacy challenges; ensuring security and privacy for a personalized mobile environment in an efficient manner is the primary objective of this dissertation.

ISBN: 9781124336282Subjects--Topical Terms:

1030799
Information Technology.

Ensuring security and privacy in a personalized mobile environment.
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520 $a Often, access control requirements in a mobile environment are based on the spatiotemporal attributes of mobile users, resources to be protected, profiles of users, or all of these. Evaluating an access request incurs significant overhead as it requires searching for the relevant moving objects that satisfy the query as well as the applicable security policies. In this dissertation, we have developed a unified index structure capable of indexing mobile objects, security policies and profiles, in a single index. This enables the efficient enforcement of access control. Another contribution is to extend the enforcement of access control to the case where instead of the exact location, only the approximate location of moving objects is maintained. To this end, the dissertation proposes an authorization model that takes the uncertainty of location measures into consideration for specifying and evaluating access control policies.
520 $a Another pressing issue in delivering mobile services is protecting the privacy of users. In this dissertation, we have proposed a comprehensive family of anonymity models, based on k-anonymity, that incorporates location, direction, as well as profile information. We have also developed anonymization algorithms that can constrain both the generalization of the location as well as that of profiles and direction, while meeting the quality of service requirements. In addition, we have proposed a partitioning method that can limit tracking of the service requestor while continuously receiving a service, thus achieving enhanced level of both privacy and quality of service.
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