Cross-domain identity and discovery framework for web calling services

被引:0
|
作者
Ibrahim Tariq Javed
Rebecca Copeland
Noel Crespi
Marc Emmelmann
Ancuta Corici
Ahmed Bouabdallah
Tuo Zhang
Saad El Jaouhari
Felix Beierle
Sebastian Göndör
Axel Küpper
Kevin Corre
Jean-Michel Crom
Frank Oberle
Ingo Friese
Ana Caldeira
Gil Dias
Nuno Santos
Ricardo Chaves
Ricardo Lopes Pereira
机构
[1] Telecom Sud-Paris,Institut Mines
[2] NGNI,Telecom
[3] Fraunhofer FOKUS,Department SRCD
[4] IMT Atlantique,undefined
[5] Technische Universität Berlin,undefined
[6] Telekom Innovation Laboratories,undefined
[7] Orange Labs Products & Services,undefined
[8] Telekom Innovation Laboratories,undefined
[9] INESC-ID,undefined
[10] IST,undefined
[11] Universidade de Lisboa,undefined
来源
关键词
WebRTC; Identity management; Trust; Real-time communication; P2P; Directory; Social graph; Registry;
D O I
暂无
中图分类号
学科分类号
摘要
Cross-domain identity management remains a major challenge for potential WebRTC adopters. In order to provide a global web-based communication system, it is critical to locate the destination called party, map the identity to the user device, and provide mutual authentication for both caller and called party. In this paper, we present a novel identity management and user discovery framework that enables callers to search and locate users across service domains. The identity management is decoupled from the used calling service, allowing users to manage their profiles and credentials independently of the applications. The framework is designed to preserve privacy and exploit web technology to gain trust and contact list management.
引用
收藏
页码:459 / 468
页数:9
相关论文
共 50 条
  • [1] Cross-domain identity and discovery framework for web calling services
    Javed, Ibrahim Tariq
    Copeland, Rebecca
    Crespi, Noel
    Emmelmann, Marc
    Corici, Ancuta
    Bouabdallah, Ahmed
    Zhang, Tuo
    El Jaouhari, Saad
    Beierle, Felix
    Goendoer, Sebastian
    Kuepper, Axel
    Corre, Kevin
    Crom, Jean-Michel
    Oberle, Frank
    Friese, Ingo
    Caldeira, Ana
    Dias, Gil
    Santos, Nuno
    Chaves, Ricardo
    Pereira, Ricardo Lopes
    ANNALS OF TELECOMMUNICATIONS, 2017, 72 (7-8) : 459 - 468
  • [2] Cross-Domain Discovery of Communication Peers Identity Mapping and Discovery Services (IMaDS)
    Friese, Ingo
    Copeland, Rebecca
    Goendoer, Sebastian
    Beierle, Felix
    Kuepper, Axel
    Pereira, Ricardo Lopes
    Crom, Jean-Michel
    2017 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2017,
  • [3] The Research of Cross-domain Usage Control Model in Web Services
    Zhang, Guoping
    Gong, Wentao
    Tian, Jiazheng
    2010 2ND INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY (EBISS 2010), 2010, : 93 - 97
  • [4] Cross-domain Web Image Annotation
    Si, Si
    Tao, Dacheng
    Chan, Kwok-Ping
    2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2009), 2009, : 184 - +
  • [5] A design pattern for asynchronous web services in secure, cross-domain information sharing
    Dourandish, Robert
    Zumel, Nina
    Manno, Michael
    2007 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-8, 2007, : 772 - +
  • [6] Towards A Cross-Domain MapReduce Framework
    Nguyen, Thuy D.
    Gondree, Mark A.
    Khosalim, Jean
    Irvine, Cynthia E.
    2013 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2013), 2013, : 1436 - 1441
  • [7] A unified framework for cross-domain sentiment classification
    Wu, Qiong
    Liu, Yue
    Shen, Huawei
    Zhang, Jin
    Xu, Hongbo
    Cheng, Xueqi
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2013, 50 (08): : 1683 - 1689
  • [8] A cross-domain knowledge transfer method for process discovery of urban community services with small datasets
    Liu, Zhao-ge
    Li, Xiang-yang
    Qiao, Li-min
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2022, 28 (04) : 1005 - 1024
  • [9] A Unified Framework for Cross-Domain and Cross-System Recommendations
    Zhu, Feng
    Wang, Yan
    Zhou, Jun
    Chen, Chaochao
    Li, Longfei
    Liu, Guanfeng
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (02) : 1171 - 1184
  • [10] A Deep Framework for Cross-Domain and Cross-System Recommendations
    Zhu, Feng
    Wang, Yan
    Chen, Chaochao
    Liu, Guanfeng
    Orgun, Mehmet
    Wu, Jia
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 3711 - 3717