e-discovery

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The Experts below are selected from a list of 1266 Experts worldwide ranked by ideXlab platform

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

  • VTC Fall - Performance Analysis of Decentralized RAN (Radio Access Network) Discovery Schemes for IEEE 802.21
    2007 IEEE 66th Vehicular Technology Conference, 2007
    Co-Authors: Cheoleun Moon, Sookhyun Yang, Ikjun Yeom
    Abstract:

    As more wireless access networks become available, there is a new challenge emerged: how to discover currently available radio access networks (RANs). To discover available RANs without help from centralized servers, each mobile host periodically turns on network interfaces to discover available networks. Performance of a RAN discovery scheme may depend on how to maintain a valid list of available networks while minimizing power consumption to discover RANs. In this paper, we derive several decentralized RAN discovery schemes. Through extensive simulations, we evaluate them in terms of achieved bandwidth, the number of handovers and power consumption.

  • Performance Analysis of Decentralized RAN (Radio Access Network) Discovery Schemes for IEEE 802.21
    2007 IEEE 66th Vehicular Technology Conference, 2007
    Co-Authors: Cheoleun Moon, Sookhyun Yang, Ikjun Yeom
    Abstract:

    As more wireless access networks become available, there is a new challenge emerged: how to discover currently available radio access networks (RANs). To discover available RANs without help from centralized servers, each mobile host periodically turns on network interfaces to discover available networks. Performance of a RAN discovery scheme may depend on how to maintain a valid list of available networks while minimizing power consumption to discover RANs. In this paper, we derive several decentralized RAN discovery schemes. Through extensive simulations, we evaluate them in terms of achieved bandwidth, the number of handovers and power consumption.

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

  • NOMS - sOFTDP: Secure and efficient OpenFlow topology discovery protocol
    NOMS 2018 - 2018 IEEE IFIP Network Operations and Management Symposium, 2018
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    Topology discovery is one of the most critical tasks of Software-Defined Network (SDN) controllers. Current SDN controllers use the OpenFlow Discovery Protocol (OFDP) as the de-facto protocol for discovering the underlying network topology. In a previous work, we have shown the functional, performance and security limitations of OFDP. In this paper, we introduce and detail a novel protocol called secure and efficient OpenFlow Discovery Protocol sOTDP. sOFTDP requires minimal changes to OpenFlow switch design, eliminates major vulnerabilities in the topology discovery process and improves its performance. We have implemented sOFTDP as a topology discovery module in Floodlight for evaluation. The results show that our implementation is more secure than OFDP and previous security workarounds. Also, sOFTDP reduces the topology dis­covery time several orders of magnitude compared to the original OFDP and existing OFDP improvements.

  • Med-Hoc-Net - Limitations of openflow topology discovery protocol
    2017 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), 2017
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    OpenFlow Discovery Protocol (OFDP) is the defacto protocol used by OpenFlow controllers to discover the underlying topology. In this paper, we show that OFDP has some serious security, efficiency and functionality limitations that make it non suitable for production deployments. Instead, we briefly introduce sOFTD, a new discovery protocol with a built-in security characteristics and which is more efficient than traditional OFDP.

  • Limitations of openflow topology discovery protocol
    2017 16th Annual Mediterranean Ad Hoc Networking Workshop Med-Hoc-Net 2017, 2017
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    OpenFlow Discovery Protocol (OFDP) is the de-facto protocol used by OpenFlow controllers to discover the underlying topology. In this paper, we show that OFDP has some serious security, efficiency and functionality limitations that make it non suitable for production deployments. Instead, we briefly introduce sOFTD, a new discovery protocol with a built-in security characteristics and which is more efficient than traditional OFDP.

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

  • Information extraction via automatic pattern discovery in identified region
    Lecture Notes in Computer Science, 2004
    Co-Authors: John Shepherd
    Abstract:

    Pattern discovery has become a fundamental technique for modern information extraction tasks. This paper presents a new two-phase pattern (2PP) discovery technique for information extraction. 2PP consists of orthographic pattern discovery (OPD) and semantic pattern discovery (SPD). The OPD determines the structural features from an identified region of a document and the SPD discovers a dominant semantic pattern for the region via inference, apposition and analogy. 2PP applies discovered pattern back into the region to extract required data items through pattern matching. Experimental evaluation on a large number of identified regions indicates that our 2PP technique achieves effective results.

  • DEXA - Information Extraction via Automatic Pattern Discovery in Identified Region
    Lecture Notes in Computer Science, 2004
    Co-Authors: John Shepherd
    Abstract:

    Pattern discovery has become a fundamental technique for modern information extraction tasks. This paper presents a new twophase pattern (2PP) discovery technique for information extraction. 2PP consists of orthographic pattern discovery (OPD) and semantic pattern discovery (SPD). The OPD determines the structural features from an identified region of a document and the SPD discovers a dominant semantic pattern for the region via inference, apposition and analogy. 2PP applies discovered pattern back into the region to extract required data items through pattern matching. Experimental evaluation on a large number of identified regions indicates that our 2PP technique achieves effective results.

  • SIGIR - Information extraction using two-phase pattern discovery
    Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04, 2004
    Co-Authors: John Shepherd
    Abstract:

    This paper presents a new two-phase pattern (2PP) discovery technique for information extraction. 2PP consists of orthographic pattern discovery (OPD) and semantic pattern discovery (SPD) where the OPD determines the structural features from an identified region of a document and the SPD discovers a dominant semantic pattern for the region via inference, apposition and analogy. Then the discovered pattern is applied back into the region to extract required data items through pattern matching. We evaluated 2PP using 6500 data items and obtained effective result.

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

  • VTC Fall - Performance Analysis of Decentralized RAN (Radio Access Network) Discovery Schemes for IEEE 802.21
    2007 IEEE 66th Vehicular Technology Conference, 2007
    Co-Authors: Cheoleun Moon, Sookhyun Yang, Ikjun Yeom
    Abstract:

    As more wireless access networks become available, there is a new challenge emerged: how to discover currently available radio access networks (RANs). To discover available RANs without help from centralized servers, each mobile host periodically turns on network interfaces to discover available networks. Performance of a RAN discovery scheme may depend on how to maintain a valid list of available networks while minimizing power consumption to discover RANs. In this paper, we derive several decentralized RAN discovery schemes. Through extensive simulations, we evaluate them in terms of achieved bandwidth, the number of handovers and power consumption.

  • Performance Analysis of Decentralized RAN (Radio Access Network) Discovery Schemes for IEEE 802.21
    2007 IEEE 66th Vehicular Technology Conference, 2007
    Co-Authors: Cheoleun Moon, Sookhyun Yang, Ikjun Yeom
    Abstract:

    As more wireless access networks become available, there is a new challenge emerged: how to discover currently available radio access networks (RANs). To discover available RANs without help from centralized servers, each mobile host periodically turns on network interfaces to discover available networks. Performance of a RAN discovery scheme may depend on how to maintain a valid list of available networks while minimizing power consumption to discover RANs. In this paper, we derive several decentralized RAN discovery schemes. Through extensive simulations, we evaluate them in terms of achieved bandwidth, the number of handovers and power consumption.

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

  • NOMS - sOFTDP: Secure and efficient OpenFlow topology discovery protocol
    NOMS 2018 - 2018 IEEE IFIP Network Operations and Management Symposium, 2018
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    Topology discovery is one of the most critical tasks of Software-Defined Network (SDN) controllers. Current SDN controllers use the OpenFlow Discovery Protocol (OFDP) as the de-facto protocol for discovering the underlying network topology. In a previous work, we have shown the functional, performance and security limitations of OFDP. In this paper, we introduce and detail a novel protocol called secure and efficient OpenFlow Discovery Protocol sOTDP. sOFTDP requires minimal changes to OpenFlow switch design, eliminates major vulnerabilities in the topology discovery process and improves its performance. We have implemented sOFTDP as a topology discovery module in Floodlight for evaluation. The results show that our implementation is more secure than OFDP and previous security workarounds. Also, sOFTDP reduces the topology dis­covery time several orders of magnitude compared to the original OFDP and existing OFDP improvements.

  • Med-Hoc-Net - Limitations of openflow topology discovery protocol
    2017 16th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), 2017
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    OpenFlow Discovery Protocol (OFDP) is the defacto protocol used by OpenFlow controllers to discover the underlying topology. In this paper, we show that OFDP has some serious security, efficiency and functionality limitations that make it non suitable for production deployments. Instead, we briefly introduce sOFTD, a new discovery protocol with a built-in security characteristics and which is more efficient than traditional OFDP.

  • Limitations of openflow topology discovery protocol
    2017 16th Annual Mediterranean Ad Hoc Networking Workshop Med-Hoc-Net 2017, 2017
    Co-Authors: Abdelhadi Azzouni, Nguyen Thi Mai Trang, Raouf Boutaba, Guy Pujolle
    Abstract:

    OpenFlow Discovery Protocol (OFDP) is the de-facto protocol used by OpenFlow controllers to discover the underlying topology. In this paper, we show that OFDP has some serious security, efficiency and functionality limitations that make it non suitable for production deployments. Instead, we briefly introduce sOFTD, a new discovery protocol with a built-in security characteristics and which is more efficient than traditional OFDP.