A low-cost privacy preserving user access in mobile edge computing framework. (March 2022)
- Record Type:
- Journal Article
- Title:
- A low-cost privacy preserving user access in mobile edge computing framework. (March 2022)
- Main Title:
- A low-cost privacy preserving user access in mobile edge computing framework
- Authors:
- Irshad, Azeem
Chaudhry, Shehzad Ashraf
Ghani, Anwar
Mallah, Ghulam Ali
Bilal, Muhammad
Alzahrani, Bander A. - Abstract:
- Highlights: A novel two-factor authenticated key agreement protocol for MEC designed with the combination of PUF and fuzzy-extractor-oriented functions. The designed protocol ensures protection to stolen biometric factors. No question of stealing password by the adversary during registration and logic phases, as the proposed model supports password free authentication. The proposed model supports a lightweight symmetric key-based protocol. This protocol supports Perfect Forward Secrecy (PFS), anonymity, un-traceability, and resists all known attacks. 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 usingHighlights: A novel two-factor authenticated key agreement protocol for MEC designed with the combination of PUF and fuzzy-extractor-oriented functions. The designed protocol ensures protection to stolen biometric factors. No question of stealing password by the adversary during registration and logic phases, as the proposed model supports password free authentication. The proposed model supports a lightweight symmetric key-based protocol. This protocol supports Perfect Forward Secrecy (PFS), anonymity, un-traceability, and resists all known attacks. 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. Graphical abstract: Graphical abstract Image, graphical abstract … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 98(2022)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 98(2022)
- Issue Display:
- Volume 98, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 98
- Issue:
- 2022
- Issue Sort Value:
- 2022-0098-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03
- Subjects:
- Pervasive and mobile edge computing -- Authentication -- Symmetric key operations -- PUF -- IoT
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2022.107692 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20850.xml