ProtectCall: Call protection based on user reputation

Ibrahim Tariq Javed; Khalifa Toumi; Noel Crespi

doi:10.1109/Trustcom/BigDataSE/ICESS.2017.297

ProtectCall: Call protection based on user reputation

Ibrahim Tariq Javed, Khalifa Toumi, Noel Crespi

CNRS SAMOVAR UMR 5157

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

Abstract

Web calling services are exposed to numerous social security threats in which context of communication is manipulated. A attacker establishes a communication session to send numerous simultaneous pre-recorded advertisement calls (Robocalls), distribute malicious files or viruses and uses false identity to conduct phishing. User identification alone is not sufficient to provide a high level of trust between communicating participants. Therefore, we propose 'ProtectCall' a trust model that allows web calling services to estimate the trustworthiness and reputation of their users based on the evaluation of three parameters: authenticity, credibility and popularity. The main objective of ProtectCall is to protect web communication services from social security threats. ProtectCall allows users to make decisions based on the trustworthiness of their communicating participants.

Original language	English
Title of host publication	Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	660-667
Number of pages	8
ISBN (Electronic)	9781509049059
DOIs	https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.297
Publication status	Published - 7 Sept 2017
Externally published	Yes
Event	16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 - Sydney, Australia Duration: 1 Aug 2017 → 4 Aug 2017

Publication series

Name	Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

Conference

Conference	16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
Country/Territory	Australia
City	Sydney
Period	1/08/17 → 4/08/17

Keywords

Popularity
Recommendation
Reputation
Trust
WebRTC

Access to Document

10.1109/Trustcom/BigDataSE/ICESS.2017.297

Cite this

Javed, I. T., Toumi, K., & Crespi, N. (2017). ProtectCall: Call protection based on user reputation. In Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 (pp. 660-667). Article 8029500 (Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.297

Javed, Ibrahim Tariq ; Toumi, Khalifa ; Crespi, Noel. / ProtectCall : Call protection based on user reputation. Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 660-667 (Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017).

@inproceedings{8ae2bffbfa0c432f98460bf66d10bfeb,

title = "ProtectCall: Call protection based on user reputation",

abstract = "Web calling services are exposed to numerous social security threats in which context of communication is manipulated. A attacker establishes a communication session to send numerous simultaneous pre-recorded advertisement calls (Robocalls), distribute malicious files or viruses and uses false identity to conduct phishing. User identification alone is not sufficient to provide a high level of trust between communicating participants. Therefore, we propose 'ProtectCall' a trust model that allows web calling services to estimate the trustworthiness and reputation of their users based on the evaluation of three parameters: authenticity, credibility and popularity. The main objective of ProtectCall is to protect web communication services from social security threats. ProtectCall allows users to make decisions based on the trustworthiness of their communicating participants.",

keywords = "Popularity, Recommendation, Reputation, Trust, WebRTC",

author = "Javed, \{Ibrahim Tariq\} and Khalifa Toumi and Noel Crespi",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 ; Conference date: 01-08-2017 Through 04-08-2017",

year = "2017",

month = sep,

day = "7",

doi = "10.1109/Trustcom/BigDataSE/ICESS.2017.297",

language = "English",

series = "Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017",

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

pages = "660--667",

booktitle = "Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017",

}

Javed, IT, Toumi, K & Crespi, N 2017, ProtectCall: Call protection based on user reputation. in Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017., 8029500, Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 660-667, 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, Sydney, Australia, 1/08/17. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.297

ProtectCall: Call protection based on user reputation. / Javed, Ibrahim Tariq; Toumi, Khalifa; Crespi, Noel.
Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 660-667 8029500 (Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017).

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

TY - GEN

T1 - ProtectCall

T2 - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

AU - Javed, Ibrahim Tariq

AU - Toumi, Khalifa

AU - Crespi, Noel

PY - 2017/9/7

Y1 - 2017/9/7

N2 - Web calling services are exposed to numerous social security threats in which context of communication is manipulated. A attacker establishes a communication session to send numerous simultaneous pre-recorded advertisement calls (Robocalls), distribute malicious files or viruses and uses false identity to conduct phishing. User identification alone is not sufficient to provide a high level of trust between communicating participants. Therefore, we propose 'ProtectCall' a trust model that allows web calling services to estimate the trustworthiness and reputation of their users based on the evaluation of three parameters: authenticity, credibility and popularity. The main objective of ProtectCall is to protect web communication services from social security threats. ProtectCall allows users to make decisions based on the trustworthiness of their communicating participants.

AB - Web calling services are exposed to numerous social security threats in which context of communication is manipulated. A attacker establishes a communication session to send numerous simultaneous pre-recorded advertisement calls (Robocalls), distribute malicious files or viruses and uses false identity to conduct phishing. User identification alone is not sufficient to provide a high level of trust between communicating participants. Therefore, we propose 'ProtectCall' a trust model that allows web calling services to estimate the trustworthiness and reputation of their users based on the evaluation of three parameters: authenticity, credibility and popularity. The main objective of ProtectCall is to protect web communication services from social security threats. ProtectCall allows users to make decisions based on the trustworthiness of their communicating participants.

KW - Popularity

KW - Recommendation

KW - Reputation

KW - Trust

KW - WebRTC

U2 - 10.1109/Trustcom/BigDataSE/ICESS.2017.297

DO - 10.1109/Trustcom/BigDataSE/ICESS.2017.297

M3 - Conference contribution

AN - SCOPUS:85032353212

T3 - Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

SP - 660

EP - 667

BT - Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 1 August 2017 through 4 August 2017

ER -

Javed IT, Toumi K, Crespi N. ProtectCall: Call protection based on user reputation. In Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 660-667. 8029500. (Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017). doi: 10.1109/Trustcom/BigDataSE/ICESS.2017.297

ProtectCall: Call protection based on user reputation

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this