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Grant: Discovery Grants Program - Individual

University of Ontario Institute of Technology

$23,000.00

Information Transparency for Privacy through Trust

EF 2018-19

Résumé
Our personal information is continually shared amongst personal devices, 'things' in the Internet of Things (IoT), online social media and other websites, and more. Whilst sometimes seemingly innocuous, it is potentially linkable and can be mined to build quite accurate pictures of us. Tools, such as Privacy Enhancing Technologies, are available to help us better manage this, and other tools, Transparency Enhancing Technologies, help in both legal and practical settings to enhance our awareness of where our information is and how it is potentially used and shared. However, Many of these tools are difficult to use or understand, and the result is a lack of needed awareness, and a lack of use. We are examining how to use human social concepts, such as trust, regret, comfort and wisdom, to enhance these technologies and aid in understanding and increased awareness and use. This will result in active, socially enhanced Transparency Technologies that are contextually aware and human oriented. We are further engaged in practical applications of these social norms in the development of autonomous agents that embed the notion of active Transparency and Privacy, to enable information to travel between systems yet remain protected and aware of their context, and the requirements of their owners (us) in how they share themselves.*This work will advance the current state of the art in privacy technologies, in particular in (1) the human awareness of privacy and the implications of information flow in young and emerging technologies such as IoT and ubiquitous computing, and established but growing technologies such as mobile and ultra-personal computing, and (2) the technological awareness of privacy and information flow in these systems. In the former, the benefit to Canada and Canadians is clear: privacy awareness is a public social good, and an aware community is a strong, enabled community. In the case of the former, the benefits are more diffuse: privacy aware artificial systems can hep enforce standards of information flow, incorporating strong protective behaviours for how to share and process information, and result in a more resilient information society comprised of people and technology.*The work will fund the training of HQP (2 PhD, 2 Masters) who will enter the workforce as privacy and information use and soft security experts. The combination of technical and social understanding will serve them well in their chosen career path.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2018-05897
Name nom
Marsh, Stephen
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
23000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2709
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Other computing methods
Research subject fr
Autres méthodes informatiques
Partie
1
Nb partie
5
Application title
Information Transparency for Privacy through Trust
Keyword
NSERC
Application summary
Our personal information is continually shared amongst personal devices, 'things' in the Internet of Things (IoT), online social media and other websites, and more. Whilst sometimes seemingly innocuous, it is potentially linkable and can be mined to build quite accurate pictures of us. Tools, such as Privacy Enhancing Technologies, are available to help us better manage this, and other tools, Transparency Enhancing Technologies, help in both legal and practical settings to enhance our awareness of where our information is and how it is potentially used and shared. However, Many of these tools are difficult to use or understand, and the result is a lack of needed awareness, and a lack of use. We are examining how to use human social concepts, such as trust, regret, comfort and wisdom, to enhance these technologies and aid in understanding and increased awareness and use. This will result in active, socially enhanced Transparency Technologies that are contextually aware and human oriented. We are further engaged in practical applications of these social norms in the development of autonomous agents that embed the notion of active Transparency and Privacy, to enable information to travel between systems yet remain protected and aware of their context, and the requirements of their owners (us) in how they share themselves.*This work will advance the current state of the art in privacy technologies, in particular in (1) the human awareness of privacy and the implications of information flow in young and emerging technologies such as IoT and ubiquitous computing, and established but growing technologies such as mobile and ultra-personal computing, and (2) the technological awareness of privacy and information flow in these systems. In the former, the benefit to Canada and Canadians is clear: privacy awareness is a public social good, and an aware community is a strong, enabled community. In the case of the former, the benefits are more diffuse: privacy aware artificial systems can hep enforce standards of information flow, incorporating strong protective behaviours for how to share and process information, and result in a more resilient information society comprised of people and technology.*The work will fund the training of HQP (2 PhD, 2 Masters) who will enter the workforce as privacy and information use and soft security experts. The combination of technical and social understanding will serve them well in their chosen career path.