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A low-cost privacy preserving user access in mobile edge computing framework

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A low-cost privacy preserving user access in mobile edge computing framework. / Irshad, Azeem; Chaudhry, Shehzad Ashraf; Ghani, Anwar et al.
In: Computers and Electrical Engineering, Vol. 98, 107692, 31.03.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Irshad, A, Chaudhry, SA, Ghani, A, Mallah, GA, Bilal, M & Alzahrani, BA 2022, 'A low-cost privacy preserving user access in mobile edge computing framework', Computers and Electrical Engineering, vol. 98, 107692. https://doi.org/10.1016/j.compeleceng.2022.107692

APA

Irshad, A., Chaudhry, S. A., Ghani, A., Mallah, G. A., Bilal, M., & Alzahrani, B. A. (2022). A low-cost privacy preserving user access in mobile edge computing framework. Computers and Electrical Engineering, 98, Article 107692. https://doi.org/10.1016/j.compeleceng.2022.107692

Vancouver

Irshad A, Chaudhry SA, Ghani A, Mallah GA, Bilal M, Alzahrani BA. A low-cost privacy preserving user access in mobile edge computing framework. Computers and Electrical Engineering. 2022 Mar 31;98:107692. Epub 2022 Jan 12. doi: 10.1016/j.compeleceng.2022.107692

Author

Irshad, Azeem ; Chaudhry, Shehzad Ashraf ; Ghani, Anwar et al. / A low-cost privacy preserving user access in mobile edge computing framework. In: Computers and Electrical Engineering. 2022 ; Vol. 98.

Bibtex

@article{25b80e388ec74154a84d3ca117c932a4,
title = "A low-cost privacy preserving user access in mobile edge computing framework",
abstract = "The computational offloading from conventional cloud datacenter towards edge devices sprouted a new world of prospective applications in pervasive and Mobile Edge Computing (MEC) paradigm, leading to substantial gains in the form of increased availability, bandwidth with low latency. The MEC offers real-time computing and storage facility within the proximity of mobile user-access network, hence it is imperative to secure communication between end user and edge server. The existing schemes do not fulfill real time processing and efficiency requirements for using complex crypto-primitives. To this end, we propose a novel two-factor biometric authentication protocol for MEC enabling efficient and secure combination of Physically Unclonable Functions (PUFs) with user-oriented biometrics employing fuzzy extractor-based procedures. The performance analysis depicts that our scheme offers resistance to known attacks using lightweight operations and supports 30% more security features than comparative studies. Our scheme is provably secure under Real-or-Random (ROR) formal security analysis model.",
keywords = "Authentication, IoT, Pervasive and mobile edge computing, PUF, Symmetric key operations",
author = "Azeem Irshad and Chaudhry, {Shehzad Ashraf} and Anwar Ghani and Mallah, {Ghulam Ali} and Muhammad Bilal and Alzahrani, {Bander A.}",
year = "2022",
month = mar,
day = "31",
doi = "10.1016/j.compeleceng.2022.107692",
language = "English",
volume = "98",
journal = "Computers and Electrical Engineering",
issn = "0045-7906",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - A low-cost privacy preserving user access in mobile edge computing framework

AU - Irshad, Azeem

AU - Chaudhry, Shehzad Ashraf

AU - Ghani, Anwar

AU - Mallah, Ghulam Ali

AU - Bilal, Muhammad

AU - Alzahrani, Bander A.

PY - 2022/3/31

Y1 - 2022/3/31

N2 - The computational offloading from conventional cloud datacenter towards edge devices sprouted a new world of prospective applications in pervasive and Mobile Edge Computing (MEC) paradigm, leading to substantial gains in the form of increased availability, bandwidth with low latency. The MEC offers real-time computing and storage facility within the proximity of mobile user-access network, hence it is imperative to secure communication between end user and edge server. The existing schemes do not fulfill real time processing and efficiency requirements for using complex crypto-primitives. To this end, we propose a novel two-factor biometric authentication protocol for MEC enabling efficient and secure combination of Physically Unclonable Functions (PUFs) with user-oriented biometrics employing fuzzy extractor-based procedures. The performance analysis depicts that our scheme offers resistance to known attacks using lightweight operations and supports 30% more security features than comparative studies. Our scheme is provably secure under Real-or-Random (ROR) formal security analysis model.

AB - The computational offloading from conventional cloud datacenter towards edge devices sprouted a new world of prospective applications in pervasive and Mobile Edge Computing (MEC) paradigm, leading to substantial gains in the form of increased availability, bandwidth with low latency. The MEC offers real-time computing and storage facility within the proximity of mobile user-access network, hence it is imperative to secure communication between end user and edge server. The existing schemes do not fulfill real time processing and efficiency requirements for using complex crypto-primitives. To this end, we propose a novel two-factor biometric authentication protocol for MEC enabling efficient and secure combination of Physically Unclonable Functions (PUFs) with user-oriented biometrics employing fuzzy extractor-based procedures. The performance analysis depicts that our scheme offers resistance to known attacks using lightweight operations and supports 30% more security features than comparative studies. Our scheme is provably secure under Real-or-Random (ROR) formal security analysis model.

KW - Authentication

KW - IoT

KW - Pervasive and mobile edge computing

KW - PUF

KW - Symmetric key operations

U2 - 10.1016/j.compeleceng.2022.107692

DO - 10.1016/j.compeleceng.2022.107692

M3 - Journal article

AN - SCOPUS:85122640336

VL - 98

JO - Computers and Electrical Engineering

JF - Computers and Electrical Engineering

SN - 0045-7906

M1 - 107692

ER -