The Experts below are selected from a list of 290535 Experts worldwide ranked by ideXlab platform
Wouter Joosen - One of the best experts on this subject based on the ideXlab platform.
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smartauth Dynamic Context fingerprinting for continuous user authentication
ACM Symposium on Applied Computing, 2015Co-Authors: Davy Preuveneers, Wouter JoosenAbstract:As recent incidents have shown, weak passwords are a severe security risk for authenticating users and granting access to protected resources. Additionally, strong passwords score low on usability, especially on mobile devices. In this work, we present SmartAuth, a scalable Context-aware authentication framework built on top of OpenAM, a state-of-practice identity and access management suite. It uses adaptive and Dynamic Context fingerprinting based on Hoeffding trees to continuously ascertain whether a user's identity is authentic or not, and it respects privacy preferences by adopting consent-driven use of Context information. We assess our approach from both an offensive and defensive security perspective. Our results show that Dynamic Context fingerprinting has good potential for a zero-interaction authentication scheme, with a minimal performance overhead compared to traditional authentication schemes.
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SAC - SmartAuth: Dynamic Context fingerprinting for continuous user authentication
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015Co-Authors: Davy Preuveneers, Wouter JoosenAbstract:As recent incidents have shown, weak passwords are a severe security risk for authenticating users and granting access to protected resources. Additionally, strong passwords score low on usability, especially on mobile devices. In this work, we present SmartAuth, a scalable Context-aware authentication framework built on top of OpenAM, a state-of-practice identity and access management suite. It uses adaptive and Dynamic Context fingerprinting based on Hoeffding trees to continuously ascertain whether a user's identity is authentic or not, and it respects privacy preferences by adopting consent-driven use of Context information. We assess our approach from both an offensive and defensive security perspective. Our results show that Dynamic Context fingerprinting has good potential for a zero-interaction authentication scheme, with a minimal performance overhead compared to traditional authentication schemes.
Norha M. Villegas - One of the best experts on this subject based on the ideXlab platform.
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CASCON - A Dynamic Context management infrastructure for supporting user-driven web integration in the personal web
2011Co-Authors: Norha M. Villegas, Hausi A. Müller, Juan C. Muñoz, Alex Lau, Chris BrealeyAbstract:Most web applications deliver personalized features by making decisions on behalf of the user. Thus, the user's web experience is still a fractionated process due to a lack of user-centric web integration. In contrast, smarter web applications will empower the user to control the integration of web resources according to personal concerns. Moreover, as the user's situation and web resources continuously evolve, web infrastructures supporting smarter applications require Dynamic and efficient mechanisms to represent, gather, provide, and reason about Context information. Aiming at optimizing the user's web experience, this paper proposes a self-adaptive Context management infrastructure, and an extensible Context taxonomy based on the resource description framework (RDF). Our Context manager is able to deploy new Context management components to keep track of changes in the user's situation at run-time. Our taxonomy includes a set of inference rules for supporting Dynamic Context representation and reasoning. Using a smarter commerce case study, we illustrate the application of feedback loops and semantic web, to the realization of Dynamic Context management in the personal web.
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a Dynamic Context management infrastructure for supporting user driven web integration in the personal web
Conference of the Centre for Advanced Studies on Collaborative Research, 2011Co-Authors: Norha M. Villegas, Hausi A. Müller, Juan C. Muñoz, Alex Lau, Chris BrealeyAbstract:Most web applications deliver personalized features by making decisions on behalf of the user. Thus, the user's web experience is still a fractionated process due to a lack of user-centric web integration. In contrast, smarter web applications will empower the user to control the integration of web resources according to personal concerns. Moreover, as the user's situation and web resources continuously evolve, web infrastructures supporting smarter applications require Dynamic and efficient mechanisms to represent, gather, provide, and reason about Context information. Aiming at optimizing the user's web experience, this paper proposes a self-adaptive Context management infrastructure, and an extensible Context taxonomy based on the resource description framework (RDF). Our Context manager is able to deploy new Context management components to keep track of changes in the user's situation at run-time. Our taxonomy includes a set of inference rules for supporting Dynamic Context representation and reasoning. Using a smarter commerce case study, we illustrate the application of feedback loops and semantic web, to the realization of Dynamic Context management in the personal web.
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managing Dynamic Context to optimize smart interactions and services
The smart internet, 2010Co-Authors: Norha M. Villegas, Hausi A. MüllerAbstract:With the rapid growth of socio-technical ecosystems, smart interactions and services are permeating every walk of life. As smart interactions must managed automatically and interactively in response to evolving user's matters of concern, the smart Internet requires creative approaches where services and interactions are implemented with awareness of, and Dynamic adaptation to, users, computational environments, changing policies and unknown requirements. Consequently, modeling and managing Dynamic Context is critical for implementing smart services and smart interactions effectively. Thus, smart interactions need infrastructure to acquire, compose, and distribute Context information to multiple execution endpoints. Moreover, Context management must be controlled and governed to optimize system properties. This chapter surveys Context modeling and management approaches intended for the optimization of smart interactions and services, discusses the main challenges and requirements of Context-awareness in the smart Internet, and provides a feature-based framework useful for the evaluation and implementation of Context modeling and management mechanisms.
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The Smart Internet - Managing Dynamic Context to optimize smart interactions and services
The Smart Internet, 2010Co-Authors: Norha M. Villegas, Hausi A. MüllerAbstract:With the rapid growth of socio-technical ecosystems, smart interactions and services are permeating every walk of life. As smart interactions must managed automatically and interactively in response to evolving user's matters of concern, the smart Internet requires creative approaches where services and interactions are implemented with awareness of, and Dynamic adaptation to, users, computational environments, changing policies and unknown requirements. Consequently, modeling and managing Dynamic Context is critical for implementing smart services and smart interactions effectively. Thus, smart interactions need infrastructure to acquire, compose, and distribute Context information to multiple execution endpoints. Moreover, Context management must be controlled and governed to optimize system properties. This chapter surveys Context modeling and management approaches intended for the optimization of smart interactions and services, discusses the main challenges and requirements of Context-awareness in the smart Internet, and provides a feature-based framework useful for the evaluation and implementation of Context modeling and management mechanisms.
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Managing Dynamic Context to Enable User-Driven Web Integration in the Personal Web
2010Co-Authors: Norha M. Villegas, Alex LauAbstract:ThePersonal Webis the people-centric instantiation of the Smart Internet where information systems, services and web content are articulated by users according to their matters of concern. To realize the vision of the Personal Web, the Smart Internet requires infrastructure to support the user in the integration of personal data and the composition of personal services within a highly Dynamic Context that constitutes the user’sPersonal Web Sphere. To address these requirements, we propose a user-driven Context management framework, built on the top of the basic enabling infrastructure of the Personal Web, to support users in the run-time modification ofpersonal Context models. The core of our proposal is the management of monitoring concerns by implementing feedback loops, where the user acts as the planner of the controller to adapt the monitoring strategy by means of using web interactions to modify the personal Context models. These Context models, deployed at three di!erent levels of abstraction, represent monitoring concerns by defining abstract types of Contextual entities, the relationships among them and the interactions that the user can instantiate to drive web integration.
Davy Preuveneers - One of the best experts on this subject based on the ideXlab platform.
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smartauth Dynamic Context fingerprinting for continuous user authentication
ACM Symposium on Applied Computing, 2015Co-Authors: Davy Preuveneers, Wouter JoosenAbstract:As recent incidents have shown, weak passwords are a severe security risk for authenticating users and granting access to protected resources. Additionally, strong passwords score low on usability, especially on mobile devices. In this work, we present SmartAuth, a scalable Context-aware authentication framework built on top of OpenAM, a state-of-practice identity and access management suite. It uses adaptive and Dynamic Context fingerprinting based on Hoeffding trees to continuously ascertain whether a user's identity is authentic or not, and it respects privacy preferences by adopting consent-driven use of Context information. We assess our approach from both an offensive and defensive security perspective. Our results show that Dynamic Context fingerprinting has good potential for a zero-interaction authentication scheme, with a minimal performance overhead compared to traditional authentication schemes.
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SAC - SmartAuth: Dynamic Context fingerprinting for continuous user authentication
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015Co-Authors: Davy Preuveneers, Wouter JoosenAbstract:As recent incidents have shown, weak passwords are a severe security risk for authenticating users and granting access to protected resources. Additionally, strong passwords score low on usability, especially on mobile devices. In this work, we present SmartAuth, a scalable Context-aware authentication framework built on top of OpenAM, a state-of-practice identity and access management suite. It uses adaptive and Dynamic Context fingerprinting based on Hoeffding trees to continuously ascertain whether a user's identity is authentic or not, and it respects privacy preferences by adopting consent-driven use of Context information. We assess our approach from both an offensive and defensive security perspective. Our results show that Dynamic Context fingerprinting has good potential for a zero-interaction authentication scheme, with a minimal performance overhead compared to traditional authentication schemes.
Alex Lau - One of the best experts on this subject based on the ideXlab platform.
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CASCON - A Dynamic Context management infrastructure for supporting user-driven web integration in the personal web
2011Co-Authors: Norha M. Villegas, Hausi A. Müller, Juan C. Muñoz, Alex Lau, Chris BrealeyAbstract:Most web applications deliver personalized features by making decisions on behalf of the user. Thus, the user's web experience is still a fractionated process due to a lack of user-centric web integration. In contrast, smarter web applications will empower the user to control the integration of web resources according to personal concerns. Moreover, as the user's situation and web resources continuously evolve, web infrastructures supporting smarter applications require Dynamic and efficient mechanisms to represent, gather, provide, and reason about Context information. Aiming at optimizing the user's web experience, this paper proposes a self-adaptive Context management infrastructure, and an extensible Context taxonomy based on the resource description framework (RDF). Our Context manager is able to deploy new Context management components to keep track of changes in the user's situation at run-time. Our taxonomy includes a set of inference rules for supporting Dynamic Context representation and reasoning. Using a smarter commerce case study, we illustrate the application of feedback loops and semantic web, to the realization of Dynamic Context management in the personal web.
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a Dynamic Context management infrastructure for supporting user driven web integration in the personal web
Conference of the Centre for Advanced Studies on Collaborative Research, 2011Co-Authors: Norha M. Villegas, Hausi A. Müller, Juan C. Muñoz, Alex Lau, Chris BrealeyAbstract:Most web applications deliver personalized features by making decisions on behalf of the user. Thus, the user's web experience is still a fractionated process due to a lack of user-centric web integration. In contrast, smarter web applications will empower the user to control the integration of web resources according to personal concerns. Moreover, as the user's situation and web resources continuously evolve, web infrastructures supporting smarter applications require Dynamic and efficient mechanisms to represent, gather, provide, and reason about Context information. Aiming at optimizing the user's web experience, this paper proposes a self-adaptive Context management infrastructure, and an extensible Context taxonomy based on the resource description framework (RDF). Our Context manager is able to deploy new Context management components to keep track of changes in the user's situation at run-time. Our taxonomy includes a set of inference rules for supporting Dynamic Context representation and reasoning. Using a smarter commerce case study, we illustrate the application of feedback loops and semantic web, to the realization of Dynamic Context management in the personal web.
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Managing Dynamic Context to Enable User-Driven Web Integration in the Personal Web
2010Co-Authors: Norha M. Villegas, Alex LauAbstract:ThePersonal Webis the people-centric instantiation of the Smart Internet where information systems, services and web content are articulated by users according to their matters of concern. To realize the vision of the Personal Web, the Smart Internet requires infrastructure to support the user in the integration of personal data and the composition of personal services within a highly Dynamic Context that constitutes the user’sPersonal Web Sphere. To address these requirements, we propose a user-driven Context management framework, built on the top of the basic enabling infrastructure of the Personal Web, to support users in the run-time modification ofpersonal Context models. The core of our proposal is the management of monitoring concerns by implementing feedback loops, where the user acts as the planner of the controller to adapt the monitoring strategy by means of using web interactions to modify the personal Context models. These Context models, deployed at three di!erent levels of abstraction, represent monitoring concerns by defining abstract types of Contextual entities, the relationships among them and the interactions that the user can instantiate to drive web integration.
Shipeng Yan - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Context correspondence network for semantic alignment
International Conference on Computer Vision, 2019Co-Authors: Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng YanAbstract:Establishing semantic correspondence is a core problem in computer vision and remains challenging due to large intra-class variations and lack of annotated data. In this paper, we aim to incorporate global semantic Context in a flexible manner to overcome the limitations of prior work that relies on local semantic representations. To this end, we first propose a Context-aware semantic representation that incorporates spatial layout for robust matching against local ambiguities. We then develop a novel Dynamic fusion strategy based on attention mechanism to weave the advantages of both local and Context features by integrating semantic cues from multiple scales. We instantiate our strategy by designing an end-to-end learnable deep network, named as Dynamic Context Correspondence Network (DCCNet). To train the network, we adopt a multi-auxiliary task loss to improve the efficiency of our weakly-supervised learning procedure. Our approach achieves superior or competitive performance over previous methods on several challenging datasets, including PF-Pascal, PF-Willow, and TSS, demonstrating its effectiveness and generality.
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ICCV - Dynamic Context Correspondence Network for Semantic Alignment
2019 IEEE CVF International Conference on Computer Vision (ICCV), 2019Co-Authors: Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng YanAbstract:Establishing semantic correspondence is a core problem in computer vision and remains challenging due to large intra-class variations and lack of annotated data. In this paper, we aim to incorporate global semantic Context in a flexible manner to overcome the limitations of prior work that relies on local semantic representations. To this end, we first propose a Context-aware semantic representation that incorporates spatial layout for robust matching against local ambiguities. We then develop a novel Dynamic fusion strategy based on attention mechanism to weave the advantages of both local and Context features by integrating semantic cues from multiple scales. We instantiate our strategy by designing an end-to-end learnable deep network, named as Dynamic Context Correspondence Network (DCCNet). To train the network, we adopt a multi-auxiliary task loss to improve the efficiency of our weakly-supervised learning procedure. Our approach achieves superior or competitive performance over previous methods on several challenging datasets, including PF-Pascal, PF-Willow, and TSS, demonstrating its effectiveness and generality.
