A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks
The Mobile crowdsourcing network (MCN) leverages collaborative intelligence to solve complex tasks through group cooperation. It comprises three main components: the end-user, the service provider, and the mobile user. The end-user requests crowd-sensing and computing services from the service provider, who handles task decomposition, distribution, re-composition, and recommendation. Mobile users perform the crowd sensing and computing tasks. Despite its benefits, MCN faces significant security and privacy challenges. Communications between the service provider and the end-user involve sensitive data, and mobile users and service providers communicate over open channels, making them vulnerable to security threats. To address these concerns, we propose a secure authentication framework for MCN, called SAF-MCN. This framework combines the lightweight cryptographic primitive “ASCON” with elliptic curve cryptography. SAF-MCN allows the service provider to authenticate mobile users before they join the MCN. Once authenticated, a secure channel is established for encrypted communication over the public Internet. The security of SAF-MCN is validated using both formal and informal methods, demonstrating its resilience against potential attacks. The use of Scyther further ensures the security of SAF-MCN. Comparative analysis shows that SAF-MCN is superior in terms of security features, computational efficiency, and communication cost.
Authors
- Abdallah Aldosary (ORCID: https://orcid.org/0000-0002-2967-3570)
- Muhammad Tanveer (ORCID: https://orcid.org/0000-0001-9836-9970)
- Louai A. Maghrabi (ORCID: https://orcid.org/0000-0001-8513-0645)
- Ahmed A. Abd El‐Latif (ORCID: https://orcid.org/0000-0002-5068-2033)
- Musheer Ahmad (ORCID: https://orcid.org/0000-0002-4915-9325)
- Amir Hussain (ORCID: https://orcid.org/0000-0002-8080-082X)
- Emad A. Ahmed
Institutions
- Prince Sultan University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- South Valley University (EG)
- Edinburgh Napier University (GB)
- University of Business and Technology (SA)
- Jamia Millia Islamia (IN)
- University of Management and Technology (PK)
Publication Details
- Journal
- IEEE Transactions on Consumer Electronics
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1109/tce.2024.3473930
- Citations
- 10
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 11.32