A Privacy Service for Context-aware Mobile Computing

Sacramento, Vagner; Endler, Markus; Nascimento, F.N.

doi:10.1109/securecomm.2005.8

Cited by 30 publications

(22 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To investigate the cost of the privacy protection for the diverse nodes sitting at the different levels of HHA, scalable versions of the Rule Manager have been simulated with 50, 100, 150 and 200 rules (both for low-and high-level context data and for personal user data) and with 3, 6 and 10 context attributes. The chosen number of rules is also comparable with the simulations in [7].…”

Section: Evaluation Outcome and Discussionmentioning

confidence: 64%

Context-Aware Privacy Protection for Wireless Sensor Networks in Hybrid Hierarchical Architecture

Mitseva

Wardana

Prasad

2008

2008 International Wireless Communications and Mobile Computing Conference

View full text Add to dashboard Cite

Sensor Networks (SNs) placed on human bodies and in the environment can intelligently and unobtrusively support professional teams (for example health care professionals) to improve their work and on the other hand their subjects (for example patients and elderly at hospital or at home). In pervasive healthcare settings, protecting the privacy of the medical care subjects and the medical staff is very important, because the lack of privacy may hinder the broad acceptance of pervasive health technology. Moreover, there is a need of empowering end-users with flexible personalized controls for their personal data collected, processed and communicated via SNs. The privacy protecting mechanisms must be non-obtrusive and context-aware to support the daily private and professional life of the persons. Since the devices/nodes used by patients and medical professionals will have diverse capabilities, many of them with very limited resources, an important question is the implication of the privacy protection mechanisms on the overall system performance. This paper proposes novel flexible privacy protection framework suitable for diverse set of ubiquitous applications; describes evaluation frames for it and investigates the cost of privacy protection. Evaluation of the influence of the context complexity and policy-based management is also presented.

show abstract

Section: Evaluation Outcome and Discussionmentioning

confidence: 64%

Context-Aware Privacy Protection for Wireless Sensor Networks in Hybrid Hierarchical Architecture

Mitseva

Wardana

Prasad

2008

2008 International Wireless Communications and Mobile Computing Conference

View full text Add to dashboard Cite

show abstract

“…The Context Privacy Service (CoPS) [7] enables mobile users to control who can access their context data, when, and at what granularity. CoPS does not enable specification of a user's situations and rules based on a user's context.…”

Section: Copsmentioning

confidence: 99%

A Context-Aware Privacy Policy Language for Controlling Access to Context Information of Mobile Users

Behrooz

Devlić

2012

Security and Privacy in Mobile Information and Communication Systems

View full text Add to dashboard Cite

Abstract. This paper introduces a Context-aware Privacy Policy Language (CPPL) that enables mobile users to control who can access their context information, at what detail, and in which situation by specifying their contextaware privacy rules. Context-aware privacy rules map a set of privacy rules to one or more user's situations, in which these rules are valid. Each time a user's situation changes, a list of valid rules is updated, leaving only a subset of the specified rules to be evaluated by a privacy framework upon arrival of a context query. In the existing context-dependent privacy policy languages a user's context is used as an additional condition parameter in a privacy rule, thus all the specified privacy rules have to be evaluated when a request to access a user's context arrives. Keeping the number of rules that need to be evaluated small is important because evaluation of a large number of privacy rules can potentially increase the response time to a context query. CPPL also enables rules to be defined based on a user's social relationship with a context requestor, which reduces the number of rules that need to be defined by a user and that consequently need to be evaluated by a privacy mechanism. This paper shows that when compared to the existing context-dependent privacy policy languages, this number of rules (that are encoded using CPPL) decreases with an increasing number of user-defined situations and requestors that are represented by a small number of social relationship groups.

show abstract

“…Another worth-mentioning system is CoPS [32], which provides fine-grained mechanisms to control the release of personal context data, as well as techniques to identify misuse of the provided information. In particular, policies in CoPS are organized in a hierarchical manner, on the basis of the priority level of the policy (i.e., organization-level, user-level, default).…”

Section: Network and Cryptographic Protocolsmentioning

confidence: 99%

Privacy in Georeferenced Context-Aware Services: A Survey

Riboni

Pareschi

Bettini

2009

Privacy in Location-Based Applications

View full text Add to dashboard Cite

Abstract. Location based services (LBS) are a specific instance of a broader class of Internet services that are predicted to become popular in a near future: context-aware services. The privacy concerns that LBS have raised are likely to become even more serious when several context data, other than location and time, are sent to service providers as part of an Internet request. This paper provides a classification and a brief survey of the privacy preservation techniques that have been proposed for this type of services. After identifying the benefits and shortcomings of each class of techniques, the paper proposes a combined approach to achieve a more comprehensive solution for privacy preservation in georeferenced context-aware services.

show abstract

A Privacy Service for Context-aware Mobile Computing

Cited by 30 publications

References 6 publications

Context-Aware Privacy Protection for Wireless Sensor Networks in Hybrid Hierarchical Architecture

Context-Aware Privacy Protection for Wireless Sensor Networks in Hybrid Hierarchical Architecture

A Context-Aware Privacy Policy Language for Controlling Access to Context Information of Mobile Users

Privacy in Georeferenced Context-Aware Services: A Survey

Contact Info

Product

Resources

About