Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services

Ibrahim Tariq Javed; Khalifa Toumis; Noel Crespi; Amir Mohammadinejad

doi:10.1109/HPCC-SmartCity-DSS.2016.0080

Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services

Ibrahim Tariq Javed, Khalifa Toumis, Noel Crespi, Amir Mohammadinejad

CNRS SAMOVAR UMR 5157

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

WebRTC provides web calling services by enabling communication between browsers in a P2P fashion. To achieve security and enhance user privacy it is essential to define the level of trust between the various entities involved in WebRTC security architecture. The existing P2P trust models are not directly applicable as the characteristics of browser to browser communication are not taken into account. We, therefore present 'Br2Br' a vector based trust framework for defining trust in WebRTC. The concepts of trust requirement, trust context, trust policy and trust evaluation are proposed to define trust relationships in WebRTC architecture. The framework considers identification, reputation and experience parameters to evaluate the amount of trust, distrust and mistrust. Finally we present set of characteristics and behaviors essential for the evaluation of trust in WebRTC communications.

Original language	English
Title of host publication	Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016
Editors	Laurence T. Yang, Jinjun Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	522-529
Number of pages	8
ISBN (Electronic)	9781509042968
DOIs	https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0080
Publication status	Published - 20 Jan 2017
Externally published	Yes
Event	18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016 - Sydney, Australia Duration: 12 Dec 2016 → 14 Dec 2016

Publication series

Name	Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016

Conference

Conference	18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016
Country/Territory	Australia
City	Sydney
Period	12/12/16 → 14/12/16

Keywords

Authentication
IdP
Identity
Reputation
Trust
WebRTC

Access to Document

10.1109/HPCC-SmartCity-DSS.2016.0080

Cite this

Javed, I. T., Toumis, K., Crespi, N., & Mohammadinejad, A. (2017). Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services. In L. T. Yang, & J. Chen (Eds.), Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016 (pp. 522-529). Article 7828421 (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0080

Javed, Ibrahim Tariq ; Toumis, Khalifa ; Crespi, Noel et al. / Br2Br : A Vector-Based Trust Framework for WebRTC Calling Services. Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016. editor / Laurence T. Yang ; Jinjun Chen. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 522-529 (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016).

@inproceedings{40f7027fc01843dfb0ed2442ba875584,

title = "Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services",

abstract = "WebRTC provides web calling services by enabling communication between browsers in a P2P fashion. To achieve security and enhance user privacy it is essential to define the level of trust between the various entities involved in WebRTC security architecture. The existing P2P trust models are not directly applicable as the characteristics of browser to browser communication are not taken into account. We, therefore present 'Br2Br' a vector based trust framework for defining trust in WebRTC. The concepts of trust requirement, trust context, trust policy and trust evaluation are proposed to define trust relationships in WebRTC architecture. The framework considers identification, reputation and experience parameters to evaluate the amount of trust, distrust and mistrust. Finally we present set of characteristics and behaviors essential for the evaluation of trust in WebRTC communications.",

keywords = "Authentication, IdP, Identity, Reputation, Trust, WebRTC",

author = "Javed, \{Ibrahim Tariq\} and Khalifa Toumis and Noel Crespi and Amir Mohammadinejad",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016 ; Conference date: 12-12-2016 Through 14-12-2016",

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doi = "10.1109/HPCC-SmartCity-DSS.2016.0080",

language = "English",

series = "Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "522--529",

editor = "Yang, \{Laurence T.\} and Jinjun Chen",

booktitle = "Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016",

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Javed, IT, Toumis, K, Crespi, N & Mohammadinejad, A 2017, Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services. in LT Yang & J Chen (eds), Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016., 7828421, Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 522-529, 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Sydney, Australia, 12/12/16. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0080

Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services. / Javed, Ibrahim Tariq; Toumis, Khalifa; Crespi, Noel et al.
Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016. ed. / Laurence T. Yang; Jinjun Chen. Institute of Electrical and Electronics Engineers Inc., 2017. p. 522-529 7828421 (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Br2Br

T2 - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016

AU - Javed, Ibrahim Tariq

AU - Toumis, Khalifa

AU - Crespi, Noel

AU - Mohammadinejad, Amir

PY - 2017/1/20

Y1 - 2017/1/20

N2 - WebRTC provides web calling services by enabling communication between browsers in a P2P fashion. To achieve security and enhance user privacy it is essential to define the level of trust between the various entities involved in WebRTC security architecture. The existing P2P trust models are not directly applicable as the characteristics of browser to browser communication are not taken into account. We, therefore present 'Br2Br' a vector based trust framework for defining trust in WebRTC. The concepts of trust requirement, trust context, trust policy and trust evaluation are proposed to define trust relationships in WebRTC architecture. The framework considers identification, reputation and experience parameters to evaluate the amount of trust, distrust and mistrust. Finally we present set of characteristics and behaviors essential for the evaluation of trust in WebRTC communications.

AB - WebRTC provides web calling services by enabling communication between browsers in a P2P fashion. To achieve security and enhance user privacy it is essential to define the level of trust between the various entities involved in WebRTC security architecture. The existing P2P trust models are not directly applicable as the characteristics of browser to browser communication are not taken into account. We, therefore present 'Br2Br' a vector based trust framework for defining trust in WebRTC. The concepts of trust requirement, trust context, trust policy and trust evaluation are proposed to define trust relationships in WebRTC architecture. The framework considers identification, reputation and experience parameters to evaluate the amount of trust, distrust and mistrust. Finally we present set of characteristics and behaviors essential for the evaluation of trust in WebRTC communications.

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DO - 10.1109/HPCC-SmartCity-DSS.2016.0080

M3 - Conference contribution

AN - SCOPUS:85013672627

T3 - Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016

SP - 522

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BT - Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016

A2 - Yang, Laurence T.

A2 - Chen, Jinjun

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 December 2016 through 14 December 2016

ER -

Javed IT, Toumis K, Crespi N, Mohammadinejad A. Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services. In Yang LT, Chen J, editors, Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 522-529. 7828421. (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016). doi: 10.1109/HPCC-SmartCity-DSS.2016.0080

Br2Br: A Vector-Based Trust Framework for WebRTC Calling Services

Abstract

Publication series

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Keywords

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