The Experts below are selected from a list of 10410 Experts worldwide ranked by ideXlab platform
Zhen Zhao - One of the best experts on this subject based on the ideXlab platform.
-
a Privacy Preservation model for facebook style social network systems
European Symposium on Research in Computer Security, 2009Co-Authors: Philip W L Fong, Mohd Anwar, Zhen ZhaoAbstract:Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind the Privacy Preservation mechanism of Facebook is distinctly different from such existing access control paradigms as Discretionary Access Control, Role-Based Access Control, Capability Systems, and TrustManagement Systems. This work takes a first step in deepening the understanding of this access control paradigm, by proposing an access control model that formalizes and generalizes the Privacy Preservation mechanism of Facebook. The model can be instantiated into a family of Facebook-style social network systems, each with a recognizably different access control mechanism, so that Facebook is but one instantiation of the model. We also demonstrate that the model can be instantiated to express policies that are not currently supported by Facebook but possess rich and natural social significance. This work thus delineates the design space of Privacy Preservation mechanisms for Facebook-style social network systems, and lays out a formal framework for policy analysis in these systems.
-
ESORICS - A Privacy Preservation model for facebook-style social network systems
Computer Security – ESORICS 2009, 2009Co-Authors: Philip W L Fong, Mohd Anwar, Zhen ZhaoAbstract:Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind the Privacy Preservation mechanism of Facebook is distinctly different from such existing access control paradigms as Discretionary Access Control, Role-Based Access Control, Capability Systems, and TrustManagement Systems. This work takes a first step in deepening the understanding of this access control paradigm, by proposing an access control model that formalizes and generalizes the Privacy Preservation mechanism of Facebook. The model can be instantiated into a family of Facebook-style social network systems, each with a recognizably different access control mechanism, so that Facebook is but one instantiation of the model. We also demonstrate that the model can be instantiated to express policies that are not currently supported by Facebook but possess rich and natural social significance. This work thus delineates the design space of Privacy Preservation mechanisms for Facebook-style social network systems, and lays out a formal framework for policy analysis in these systems.
Vana Kalogeraki - One of the best experts on this subject based on the ideXlab platform.
-
Privacy Preservation for participatory sensing data
2013 IEEE International Conference on Pervasive Computing and Communications PerCom 2013, 2013Co-Authors: Ioannis Boutsis, Vana KalogerakiAbstract:Over the recent years, the proliferation of mobile networking and the increasing capabilities of smartphone devices have led to the development of “Participatory Sensing” applications, where users actively participate in data collection and sharing in a wide range of application domains from entertainment, to transportation, to environmental monitoring. One important challenge in these settings is Privacy Preservation for participatory sensing data, such as user trajectories. This paper develops a participatory sensing system for Android smartphones and proposes an efficient approach for Privacy Preservation which enables users to disclose their trajectory information without compromising their Privacy. Existing approaches for Privacy-aware data sharing operate under the assumption that user data is maintained in a centralized database. In our work we assume that user data is generated and stored locally on the individual smartphone devices. Our technique is distributed and low cost. We present detailed experimental results to illustrate that our approach is practical, efficient and with low overhead.
-
PerCom - Privacy Preservation for participatory sensing data
2013 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013Co-Authors: Ioannis Boutsis, Vana KalogerakiAbstract:Over the recent years, the proliferation of mobile networking and the increasing capabilities of smartphone devices have led to the development of “Participatory Sensing” applications, where users actively participate in data collection and sharing in a wide range of application domains from entertainment, to transportation, to environmental monitoring. One important challenge in these settings is Privacy Preservation for participatory sensing data, such as user trajectories. This paper develops a participatory sensing system for Android smartphones and proposes an efficient approach for Privacy Preservation which enables users to disclose their trajectory information without compromising their Privacy. Existing approaches for Privacy-aware data sharing operate under the assumption that user data is maintained in a centralized database. In our work we assume that user data is generated and stored locally on the individual smartphone devices. Our technique is distributed and low cost. We present detailed experimental results to illustrate that our approach is practical, efficient and with low overhead.
Philip W L Fong - One of the best experts on this subject based on the ideXlab platform.
-
a Privacy Preservation model for facebook style social network systems
European Symposium on Research in Computer Security, 2009Co-Authors: Philip W L Fong, Mohd Anwar, Zhen ZhaoAbstract:Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind the Privacy Preservation mechanism of Facebook is distinctly different from such existing access control paradigms as Discretionary Access Control, Role-Based Access Control, Capability Systems, and TrustManagement Systems. This work takes a first step in deepening the understanding of this access control paradigm, by proposing an access control model that formalizes and generalizes the Privacy Preservation mechanism of Facebook. The model can be instantiated into a family of Facebook-style social network systems, each with a recognizably different access control mechanism, so that Facebook is but one instantiation of the model. We also demonstrate that the model can be instantiated to express policies that are not currently supported by Facebook but possess rich and natural social significance. This work thus delineates the design space of Privacy Preservation mechanisms for Facebook-style social network systems, and lays out a formal framework for policy analysis in these systems.
-
ESORICS - A Privacy Preservation model for facebook-style social network systems
Computer Security – ESORICS 2009, 2009Co-Authors: Philip W L Fong, Mohd Anwar, Zhen ZhaoAbstract:Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind the Privacy Preservation mechanism of Facebook is distinctly different from such existing access control paradigms as Discretionary Access Control, Role-Based Access Control, Capability Systems, and TrustManagement Systems. This work takes a first step in deepening the understanding of this access control paradigm, by proposing an access control model that formalizes and generalizes the Privacy Preservation mechanism of Facebook. The model can be instantiated into a family of Facebook-style social network systems, each with a recognizably different access control mechanism, so that Facebook is but one instantiation of the model. We also demonstrate that the model can be instantiated to express policies that are not currently supported by Facebook but possess rich and natural social significance. This work thus delineates the design space of Privacy Preservation mechanisms for Facebook-style social network systems, and lays out a formal framework for policy analysis in these systems.
Ioannis Boutsis - One of the best experts on this subject based on the ideXlab platform.
-
Privacy Preservation for participatory sensing data
2013 IEEE International Conference on Pervasive Computing and Communications PerCom 2013, 2013Co-Authors: Ioannis Boutsis, Vana KalogerakiAbstract:Over the recent years, the proliferation of mobile networking and the increasing capabilities of smartphone devices have led to the development of “Participatory Sensing” applications, where users actively participate in data collection and sharing in a wide range of application domains from entertainment, to transportation, to environmental monitoring. One important challenge in these settings is Privacy Preservation for participatory sensing data, such as user trajectories. This paper develops a participatory sensing system for Android smartphones and proposes an efficient approach for Privacy Preservation which enables users to disclose their trajectory information without compromising their Privacy. Existing approaches for Privacy-aware data sharing operate under the assumption that user data is maintained in a centralized database. In our work we assume that user data is generated and stored locally on the individual smartphone devices. Our technique is distributed and low cost. We present detailed experimental results to illustrate that our approach is practical, efficient and with low overhead.
-
PerCom - Privacy Preservation for participatory sensing data
2013 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013Co-Authors: Ioannis Boutsis, Vana KalogerakiAbstract:Over the recent years, the proliferation of mobile networking and the increasing capabilities of smartphone devices have led to the development of “Participatory Sensing” applications, where users actively participate in data collection and sharing in a wide range of application domains from entertainment, to transportation, to environmental monitoring. One important challenge in these settings is Privacy Preservation for participatory sensing data, such as user trajectories. This paper develops a participatory sensing system for Android smartphones and proposes an efficient approach for Privacy Preservation which enables users to disclose their trajectory information without compromising their Privacy. Existing approaches for Privacy-aware data sharing operate under the assumption that user data is maintained in a centralized database. In our work we assume that user data is generated and stored locally on the individual smartphone devices. Our technique is distributed and low cost. We present detailed experimental results to illustrate that our approach is practical, efficient and with low overhead.
Shufen Peng - One of the best experts on this subject based on the ideXlab platform.
-
User-Centric Privacy Preservation in Data-Sharing Applications
2010Co-Authors: Feng Gao, Shufen PengAbstract:During data sharing process across people, users do not want the information that contains Privacy to be shared with everyone else; some people may only want to share it with someone they are familiar with. To solve this issue of Privacy Preservation in data-sharing applications, we propose a novel user-centric method. Our main contributions include the followings. (1) Users can select key words or characters for their own Privacy information, which is a user-centric way to protect Privacy. (2) During the process of data sharing, data substitution can be used to ensure Privacy Preservation as well as high successful rate of data sharing. (3) Our method can be used in different data-sharing applications in a flexible way. Simulation results show that our method can achieve our Privacy Preservation goal.
-
NPC - User-centric Privacy Preservation in data-sharing applications
Lecture Notes in Computer Science, 2010Co-Authors: Feng Gao, Shufen PengAbstract:During data sharing process across people, users do not want the information that contains Privacy to be shared with everyone else; some people may only want to share it with someone they are familiar with. To solve this issue of Privacy Preservation in data-sharing applications, we propose a novel user-centric method. Our main contributions include the followings. (1) Users can select key words or characters for their own Privacy information, which is a user-centric way to protect Privacy. (2) During the process of data sharing, data substitution can be used to ensure Privacy Preservation as well as high successful rate of data sharing. (3) Our method can be used in different data-sharing applications in a flexible way. Simulation results show that our method can achieve our Privacy Preservation goal.
