Modelling the impact of virtual identities on communication infrastructures

Barisch, Marc

doi:10.1145/1655028.1655040

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…Barisch introduced an analytical model to evaluate the overhead caused by V ID concept on the network infrastructure using BCMP theorem [12]. Therefore, in the current work, the proposed algorithms for V ID will be evaluated and compared against that model [43] for the same impact.…”

Section: Related Workmentioning

confidence: 99%

“…A comparison between the overhead introduced by the V ID concept of the proposed models and the state of the art Barisch's model [43] is done. The used key metrics for performance evaluation is similar in both Barisch's model and the proposed models.…”

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

“…Therefore, the total overhead introduced by V ID concept is the same as if the number of simultaneously service session is multiplied by the number of users. The load is defined as in [43] as the number of simultaneous service sessions that a user has. Therefore, for Barisch's model, the authentication load is involved during the activation process of V ID and calculated as the activation rate multiplied by the mean termination rate of the service.…”

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

“…More users will increase the load on the PKG server but all users can create their own V ID (s). Moreover, unlike [43], the load on PKG at IBE is more than the load at PBE because the users at PBE are in charge of the process. Hence, 50 users at IBE made the same load as 200 users at PBE.…”

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

See 3 more Smart Citations

Virtual Identity Performance Evaluations of Anonymous Authentication in IDaaS Framework

et al. 2019

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Identity-as-a-Service (IDaaS) is one of the most famous fruitful authentication services for cloud deployment to the Software-as-a-Service (SaaS) model. It is a third party approach for identity management, including creation, authentication, and privacy assurance. In this paper, the Virtual Identity (V ID), as a new realization for IDaaS terminology which can be used in virtual environments, is proposed to improve the user privacy and to provide the anonymous Single sign-on (SSO) in such types of distributed environments. Actually, two V ID frameworks based on the Identity-Based Encryption (IBE) and Pseudonym-Based Encryption (PBE) approaches are proposed and then implemented using MIRACL library. The V ID approaches performance is evaluated analytically by implementing a mathematical model based on BCMP (Baskett Chandy Muntz Palacios) queuing model. In addition, a simulation-based evaluation using OPNET Modeler is introduced to compare the analytical-based BCMP queuing model against the OPNET simulation results. Moreover, the proposed approaches are compared against state-of-the-art work.

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Section: Related Workmentioning

confidence: 99%

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

Section: Ibe and Pbe Versus Barisch's Modelmentioning

confidence: 99%

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Virtual Identity Performance Evaluations of Anonymous Authentication in IDaaS Framework

et al. 2019

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“…Another milestone is the frameworks such as the one introduced by Ref. 28 to trace the history of how a user's identity information is handled after it is transferred across domains of control. Finally Ref.…”

Section: Cyber-crime and Privacymentioning

confidence: 99%

Using Artificial Intelligence Techniques to Implement a Multifactor Authentication System

Phiri¹,

Zhao²,

Zhu³

et al. 2011

IJCIS

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The recent years have seen a rise in the number of cases of cyber-crime committed through identity theft and fraud. To address this problem, this paper uses adaptive neural-fuzzy inference system, fuzzy logic and artificial neural network to implement a multifactor authentication system through a technique of information fusion. To begin with, the identity attributes are mined using the three corpora from three major sources namely the social networks, a set of questionnaires and application forms from the various services offered both in the real and cyberspace. The statistical information generated by the corpora is then used to compose an identity attribute metric model. The composed identity attributes metrics values classified as biometrics, device metrics and pseudo metrics are then fused at the score level through a technique of information fusion in a multifactor authentication system by using each of the above artificial intelligence technologies and the results compared.

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Reusable Pseudonym Privacy Protection in Pervasive Computing

Guo

Ya-jun

2011

Advances in Computer Science, Intelligent System and Environment

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Modelling the impact of virtual identities on communication infrastructures

Cited by 4 publications

References 18 publications

Virtual Identity Performance Evaluations of Anonymous Authentication in IDaaS Framework

Virtual Identity Performance Evaluations of Anonymous Authentication in IDaaS Framework

Using Artificial Intelligence Techniques to Implement a Multifactor Authentication System

Reusable Pseudonym Privacy Protection in Pervasive Computing

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