The Experts below are selected from a list of 14184 Experts worldwide ranked by ideXlab platform
Johannes Gehrke - One of the best experts on this subject based on the ideXlab platform.
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Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services to obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
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ACM Conference on Computer and Communications Security - Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services t obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
Istemi Ekin Akkus - One of the best experts on this subject based on the ideXlab platform.
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Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services to obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
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ACM Conference on Computer and Communications Security - Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services t obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
Martin Colbert - One of the best experts on this subject based on the ideXlab platform.
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Web Analytics the new purpose towards predictive mobile games
Advances in Computer Entertainment Technology, 2013Co-Authors: Mathew Burns, Martin ColbertAbstract:Web Analytics have been confined to an iterative process of collecting online traffic data for the purpose of drawing conclusions. This research presents a concept where internet usage traffic can be predicted against through the means of a mobile game. Through investigating certain industries use and perceptions of playfulness certain aspects are identified for the design and development of the game. Using a usability based methodology for evaluative testing these features are questioned amongst two distinctive versions. From these, the feasibility of a mobile game and its playfulness for users is gauged. The research leaves the concept considering what other contexts Web Analytics can be used within.
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Advances in Computer Entertainment - Web Analytics: The New Purpose towards Predictive Mobile Games
Lecture Notes in Computer Science, 2013Co-Authors: Mathew Burns, Martin ColbertAbstract:Web Analytics have been confined to an iterative process of collecting online traffic data for the purpose of drawing conclusions. This research presents a concept where internet usage traffic can be predicted against through the means of a mobile game. Through investigating certain industries use and perceptions of playfulness certain aspects are identified for the design and development of the game. Using a usability based methodology for evaluative testing these features are questioned amongst two distinctive versions. From these, the feasibility of a mobile game and its playfulness for users is gauged. The research leaves the concept considering what other contexts Web Analytics can be used within.
Michaela Hardt - One of the best experts on this subject based on the ideXlab platform.
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Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services to obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
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ACM Conference on Computer and Communications Security - Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services t obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
Paul Francis - One of the best experts on this subject based on the ideXlab platform.
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Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services to obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
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ACM Conference on Computer and Communications Security - Non-tracking Web Analytics
Proceedings of the 2012 ACM conference on Computer and communications security - CCS '12, 2012Co-Authors: Istemi Ekin Akkus, Michaela Hardt, Ruichuan Chen, Paul Francis, Johannes GehrkeAbstract:Today, Websites commonly use third party Web Analytics services t obtain aggregate information about users that visit their sites. This information includes demographics and visits to other sites as well as user behavior within their own sites. Unfortunately, to obtain this aggregate information, Web Analytics services track individual user browsing behavior across the Web. This violation of user privacy has been strongly criticized, resulting in tools that block such tracking as well as anti-tracking legislation and standards such as Do-Not-Track. These efforts, while improving user privacy, degrade the quality of Web Analytics. This paper presents the first design of a system that provides Web Analytics without tracking. The system gives users differential privacy guarantees, can provide better quality Analytics than current services, requires no new organizational players, and is practical to deploy. This paper describes and analyzes the design, gives performance benchmarks, and presents our implementation and deployment across several hundred users.
