A new dynamic trust model for "on Cloud" Federated Identity Management

Keltoum Bendiab; Stavros Shiaeles; Samia Boucherkha

doi:10.1109/NTMS.2018.8328673

A new dynamic trust model for "on Cloud" Federated Identity Management

Keltoum Bendiab
, Stavros Shiaeles
, Samia Boucherkha

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

166 Downloads (Pure)

Abstract

With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.

Original language	English
Title of host publication	2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	978-1-5386-3662-6, 978-1-5386-3663-3
DOIs	https://doi.org/10.1109/NTMS.2018.8328673
Publication status	Published - 2 Apr 2018
Event	9th IFIP International Conference on New Technologies, Mobility and Security - Paris, France Duration: 26 Feb 2018 → 28 Feb 2018

Publication series

Name	IEEE NTMS Proceedings Series
Publisher	IEEE
ISSN (Electronic)	2157-4960

Conference

Conference	9th IFIP International Conference on New Technologies, Mobility and Security
Abbreviated title	NTMS 2018
Country/Territory	France
City	Paris
Period	26/02/18 → 28/02/18

Keywords

Cloud Computing
Federated Identity Management
Fuzzy Cognitive Maps.
Trust
Trust model

Access to Document

10.1109/NTMS.2018.8328673

A New Dynamic Trust Model for “On Cloud” Federated Identity Management
© © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript (Post-print), 707 KB

Cite this

Bendiab, K., Shiaeles, S., & Boucherkha, S. (2018). A new dynamic trust model for "on Cloud" Federated Identity Management. In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1-5). Article 8328673 (IEEE NTMS Proceedings Series). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NTMS.2018.8328673

@inproceedings{9434a8f3f20b4156af9e2c43205b393d,

title = "A new dynamic trust model for {"}on Cloud{"} Federated Identity Management",

abstract = "With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.",

keywords = "Cloud Computing, Federated Identity Management, Fuzzy Cognitive Maps., Trust, Trust model",

author = "Keltoum Bendiab and Stavros Shiaeles and Samia Boucherkha",

year = "2018",

month = apr,

day = "2",

doi = "10.1109/NTMS.2018.8328673",

language = "English",

series = "IEEE NTMS Proceedings Series",

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

pages = "1--5",

booktitle = "2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)",

address = "United States",

note = "9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 ; Conference date: 26-02-2018 Through 28-02-2018",

}

Bendiab, K , Shiaeles, S & Boucherkha, S 2018, A new dynamic trust model for "on Cloud" Federated Identity Management. in 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)., 8328673, IEEE NTMS Proceedings Series, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 9th IFIP International Conference on New Technologies, Mobility and Security, Paris, France, 26/02/18. https://doi.org/10.1109/NTMS.2018.8328673

A new dynamic trust model for "on Cloud" Federated Identity Management. / Bendiab, Keltoum ; Shiaeles, Stavros; Boucherkha, Samia.
2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 8328673 (IEEE NTMS Proceedings Series).

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

TY - GEN

T1 - A new dynamic trust model for "on Cloud" Federated Identity Management

AU - Bendiab, Keltoum

AU - Shiaeles, Stavros

AU - Boucherkha, Samia

PY - 2018/4/2

Y1 - 2018/4/2

N2 - With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.

AB - With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.

KW - Cloud Computing

KW - Federated Identity Management

KW - Fuzzy Cognitive Maps.

KW - Trust

KW - Trust model

UR - https://www.scopus.com/pages/publications/85051124288

UR - http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=67434

UR - https://pearl.plymouth.ac.uk/handle/10026.1/12690

U2 - 10.1109/NTMS.2018.8328673

DO - 10.1109/NTMS.2018.8328673

M3 - Conference contribution

AN - SCOPUS:85051124288

T3 - IEEE NTMS Proceedings Series

SP - 1

EP - 5

BT - 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IFIP International Conference on New Technologies, Mobility and Security

Y2 - 26 February 2018 through 28 February 2018

ER -

A new dynamic trust model for "on Cloud" Federated Identity Management

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this