A Dynamic Privacy Manager for Compliance in Pervasive Computing

2012 ◽  
pp. 285-307
Author(s):  
Riccardo Bonazzi ◽  
Zhan Liu ◽  
Simon Ganière ◽  
Yves Pigneur
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Pervasive Computing ◽  
Support System ◽  
User Behavior ◽  
Context Aware ◽  
Privacy Management ◽  
Four Dimensions ◽  
Business Regulation

In this chapter we propose a decision support system for privacy management of context-aware technologies, which requires the alignment of four dimensions: business, regulation, technology, and user behavior. We have developed a middleware model able to achieve compliance with privacy policies within a dynamic and context-aware risk management situation. We illustrate our model in more details by means of a small prototype that we developed, and we present the current outcomes of its implementation to derive some pointers for the direction of future investigation.

A Dynamic Privacy Manager for Compliance in Pervasive Computing

Data Mining ◽  
2013 ◽  
pp. 793-815
Author(s):  
Riccardo Bonazzi ◽  
Zhan Liu ◽  
Simon Ganière ◽  
Yves Pigneur
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Pervasive Computing ◽  
Support System ◽  
User Behavior ◽  
Context Aware ◽  
Privacy Management ◽  
Four Dimensions ◽  
Business Regulation

In this chapter we propose a decision support system for privacy management of context-aware technologies, which requires the alignment of four dimensions: business, regulation, technology, and user behavior. We have developed a middleware model able to achieve compliance with privacy policies within a dynamic and context-aware risk management situation. We illustrate our model in more details by means of a small prototype that we developed, and we present the current outcomes of its implementation to derive some pointers for the direction of future investigation.

A context-aware decision-support system in clinical pharmacy: Drug monitoring in the elderly

2017 ◽  
Vol 52 (1) ◽  
pp. 100-110
Author(s):  
F. Lagrange ◽  
J. Lagrange ◽  
C. Bennaga ◽  
F. Taloub ◽  
M. Keddi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Clinical Pharmacy ◽  
Drug Monitoring ◽  
The Elderly ◽  
Context Aware

A Decision Support System for Privacy Compliance

2012 ◽  
pp. 158-180 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

A Decision Support System for Privacy Compliance

Data Mining ◽  
2013 ◽  
pp. 1496-1518 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

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