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Bhavani Thuraisingham - One of the best experts on this subject based on the ideXlab platform.

  • Privacy Constraint Processing in a privacy-enhanced database management system
    Data & Knowledge Engineering, 2005
    Co-Authors: Bhavani Thuraisingham
    Abstract:

    This paper views the privacy problem as a form of inference problem. It first provides an overview of the privacy problem and then introduces the notion of privacy Constraints. Next it describes architecture for a privacy-enhanced database management system and discusses algorithms for privacy Constraint Processing. A note on privacy Constraints Processing and release control are given next. Finally some directions for future research on privacy are stated.

  • Security Constraint Processing in a multilevel secure distributed database management system
    IEEE Transactions on Knowledge and Data Engineering, 1995
    Co-Authors: Bhavani Thuraisingham, W. Ford
    Abstract:

    In a multilevel secure distributed database management system, users cleared at different security levels access and share a distributed database consisting of data at different sensitivity levels. An approach to assigning sensitivity levels, also called security levels, to data is one which utilizes Constraints or classification rules. Security Constraints provide an effective classification policy. They can be used to assign security levels to the data based on content, context, and time. We extend our previous work on security Constraint Processing in a centralized multilevel secure database management system by describing techniques for Processing security Constraints in a distributed environment during query, update, and database design operations. >

  • security Constraint Processing during the update operation in a multilevel secure database management system
    Annual Computer Security Applications Conference, 1991
    Co-Authors: Marie S Collins, W. Ford, Bhavani Thuraisingham
    Abstract:

    In a multilevel secure database management system (MLS/DBMS), users cleared at different security levels access and share a database consisting of data at different sensitivity levels (also called security levels) to data is one which utilizes security Constraints or classification rules. Security Constraints provide an effective and versatile classification policy. They can be used to assign security levels to the data depending on the content, context, and time. Security Constraints are a special form of integrity Constraints enforced in a MLS/DBMS. As such, they can be handled during query Processing, during database updates or during database design. The authors describe in detail the design and implementation of a secure update processor which handles security Constraints in a multilevel secure database management system. >

  • ACSAC - Security Constraint Processing during the update operation in a multilevel secure database management system
    Proceedings Seventh Annual Computer Security Applications Conference, 1
    Co-Authors: Marie S Collins, W. Ford, Bhavani Thuraisingham
    Abstract:

    In a multilevel secure database management system (MLS/DBMS), users cleared at different security levels access and share a database consisting of data at different sensitivity levels (also called security levels) to data is one which utilizes security Constraints or classification rules. Security Constraints provide an effective and versatile classification policy. They can be used to assign security levels to the data depending on the content, context, and time. Security Constraints are a special form of integrity Constraints enforced in a MLS/DBMS. As such, they can be handled during query Processing, during database updates or during database design. The authors describe in detail the design and implementation of a secure update processor which handles security Constraints in a multilevel secure database management system. >

Ken Satoh - One of the best experts on this subject based on the ideXlab platform.

  • Speculative Computation with Constraint Processing for the generation of clinical scenarios
    2014
    Co-Authors: Tiago Oliveira, Ken Satoh, Paulo Novais, José Neves
    Abstract:

    This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT ( Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst-OE/EEI/UI0752/2014. The work of Tiago Oliveira is supported by a doctoral grant by FCT (SFRH/BD/85291/2012).

  • CLIMA - On the implementation of speculative Constraint Processing
    Lecture Notes in Computer Science, 2010
    Co-Authors: Alessandra Russo, Krysia Broda, Hiroshi Hosobe, Ken Satoh
    Abstract:

    Speculative computation has been proposed for reasoning with incomplete information in multi-agent systems. This paper presents the first multi-threaded implementation for speculative Constraint Processing with iterative revision for disjunctive answers in master-slave multi-agent systems.

  • Speculative Constraint Processing for hierarchical agents
    AI Communications, 2010
    Co-Authors: Hiroshi Hosobe, Alessandra Russo, Ken Satoh, Krysia Broda
    Abstract:

    Speculative computation is an effective means for solving problems with incomplete information in multi-agent systems. It allows such a system to compute tentative solutions by using default knowledge about agents even if communications between agents are delayed or fail. Previously we have proposed a logical framework for speculative Constraint Processing for master-slave multi-agent systems. In this paper, we extend the framework to support more general multi-agent systems that are hierarchically structured. We provide an operational model for the framework and present a prototype implementation of the model.

  • on the implementation of speculative Constraint Processing
    Lecture Notes in Computer Science, 2009
    Co-Authors: Alessandra Russo, Krysia Broda, Hiroshi Hosobe, Ken Satoh
    Abstract:

    Speculative computation has been proposed for reasoning with incomplete information in multi-agent systems. This paper presents the first multi-threaded implementation for speculative Constraint Processing with iterative revision for disjunctive answers in master-slave multi-agent systems.

  • Agent-Based Speculative Constraint Processing
    IEICE Transactions on Information and Systems, 2007
    Co-Authors: Hiroshi Hosobe, Ken Satoh, Philippe Codognet
    Abstract:

    In this paper, we extend our framework of speculative computation in multi-agent systems by introducing default Constraints. In research on multi-agent systems, handling incomplete information due to communication failure or due to other agents' delay in communication is a very important issue. For a solution to this problem, we previously proposed speculative computation based on abduction in the context of master-slave multi-agent systems and gave a procedure in abductive logic programming. In our previous proposal, a master agent prepares a default value for a yes/no question in advance, and it performs speculative computation using the default without waiting for a reply to the question. This computation is effective unless the contradictory reply to the default is returned. In this paper, we formalize speculative Constraint Processing, and propose a correct operational model for such computation so that we can handle not only yes/no questions, but also more general types of questions.

W. Ford - One of the best experts on this subject based on the ideXlab platform.

  • Security Constraint Processing in a multilevel secure distributed database management system
    IEEE Transactions on Knowledge and Data Engineering, 1995
    Co-Authors: Bhavani Thuraisingham, W. Ford
    Abstract:

    In a multilevel secure distributed database management system, users cleared at different security levels access and share a distributed database consisting of data at different sensitivity levels. An approach to assigning sensitivity levels, also called security levels, to data is one which utilizes Constraints or classification rules. Security Constraints provide an effective classification policy. They can be used to assign security levels to the data based on content, context, and time. We extend our previous work on security Constraint Processing in a centralized multilevel secure database management system by describing techniques for Processing security Constraints in a distributed environment during query, update, and database design operations. >

  • security Constraint Processing during the update operation in a multilevel secure database management system
    Annual Computer Security Applications Conference, 1991
    Co-Authors: Marie S Collins, W. Ford, Bhavani Thuraisingham
    Abstract:

    In a multilevel secure database management system (MLS/DBMS), users cleared at different security levels access and share a database consisting of data at different sensitivity levels (also called security levels) to data is one which utilizes security Constraints or classification rules. Security Constraints provide an effective and versatile classification policy. They can be used to assign security levels to the data depending on the content, context, and time. Security Constraints are a special form of integrity Constraints enforced in a MLS/DBMS. As such, they can be handled during query Processing, during database updates or during database design. The authors describe in detail the design and implementation of a secure update processor which handles security Constraints in a multilevel secure database management system. >

  • ACSAC - Security Constraint Processing during the update operation in a multilevel secure database management system
    Proceedings Seventh Annual Computer Security Applications Conference, 1
    Co-Authors: Marie S Collins, W. Ford, Bhavani Thuraisingham
    Abstract:

    In a multilevel secure database management system (MLS/DBMS), users cleared at different security levels access and share a database consisting of data at different sensitivity levels (also called security levels) to data is one which utilizes security Constraints or classification rules. Security Constraints provide an effective and versatile classification policy. They can be used to assign security levels to the data depending on the content, context, and time. Security Constraints are a special form of integrity Constraints enforced in a MLS/DBMS. As such, they can be handled during query Processing, during database updates or during database design. The authors describe in detail the design and implementation of a secure update processor which handles security Constraints in a multilevel secure database management system. >

Hiroshi Hosobe - One of the best experts on this subject based on the ideXlab platform.

  • CLIMA - On the implementation of speculative Constraint Processing
    Lecture Notes in Computer Science, 2010
    Co-Authors: Alessandra Russo, Krysia Broda, Hiroshi Hosobe, Ken Satoh
    Abstract:

    Speculative computation has been proposed for reasoning with incomplete information in multi-agent systems. This paper presents the first multi-threaded implementation for speculative Constraint Processing with iterative revision for disjunctive answers in master-slave multi-agent systems.

  • Speculative Constraint Processing for hierarchical agents
    AI Communications, 2010
    Co-Authors: Hiroshi Hosobe, Alessandra Russo, Ken Satoh, Krysia Broda
    Abstract:

    Speculative computation is an effective means for solving problems with incomplete information in multi-agent systems. It allows such a system to compute tentative solutions by using default knowledge about agents even if communications between agents are delayed or fail. Previously we have proposed a logical framework for speculative Constraint Processing for master-slave multi-agent systems. In this paper, we extend the framework to support more general multi-agent systems that are hierarchically structured. We provide an operational model for the framework and present a prototype implementation of the model.

  • on the implementation of speculative Constraint Processing
    Lecture Notes in Computer Science, 2009
    Co-Authors: Alessandra Russo, Krysia Broda, Hiroshi Hosobe, Ken Satoh
    Abstract:

    Speculative computation has been proposed for reasoning with incomplete information in multi-agent systems. This paper presents the first multi-threaded implementation for speculative Constraint Processing with iterative revision for disjunctive answers in master-slave multi-agent systems.

  • Agent-Based Speculative Constraint Processing
    IEICE Transactions on Information and Systems, 2007
    Co-Authors: Hiroshi Hosobe, Ken Satoh, Philippe Codognet
    Abstract:

    In this paper, we extend our framework of speculative computation in multi-agent systems by introducing default Constraints. In research on multi-agent systems, handling incomplete information due to communication failure or due to other agents' delay in communication is a very important issue. For a solution to this problem, we previously proposed speculative computation based on abduction in the context of master-slave multi-agent systems and gave a procedure in abductive logic programming. In our previous proposal, a master agent prepares a default value for a yes/no question in advance, and it performs speculative computation using the default without waiting for a reply to the question. This computation is effective unless the contradictory reply to the default is returned. In this paper, we formalize speculative Constraint Processing, and propose a correct operational model for such computation so that we can handle not only yes/no questions, but also more general types of questions.

  • CLIMA - Speculative Constraint Processing with iterative revision for disjunctive answers
    Lecture Notes in Computer Science, 2006
    Co-Authors: Martine Ceberio, Hiroshi Hosobe, Ken Satoh
    Abstract:

    In multi-agents systems, incompleteness, due to either communication failure or response delay, is a major problem to handle. To face incompleteness, frameworks for speculative computation were proposed (see references [5, 6, 7]). The idea developed in such frameworks is to allow the asking agent, while waiting for the slave agents to reply, to reason using default beliefs until replies are sent. In particular, K. Satoh and K. Yamamoto [7] proposed a framework that allows an agent not only to perform speculative computation, but also to accept iterative answer revision for yes/no questions. In this paper, we present an extension of the framework for more general types of questions using Constraint logic programming (CLP).

Fordwilliam - One of the best experts on this subject based on the ideXlab platform.