Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey

Nyarko‐Boateng, Owusu; Adekoya, Adebayo Felix; Weyori, Benjamin Asubam

doi:10.3844/jcssp.2020.1355.1366

Cited by 1 publication

(1 citation statement)

References 56 publications

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“…End-to-end data transmission and storage are key in the SIM registration exercise. The current stateof-the-art mobile telephony technology is an enhanced infrastructure which supports quality service delivery through optical fiber transmission networks (18) , (19) For NIA to successfully appropriately protect data retrieved from the SIM registration exercise, enhance secure transmission protocols such as TLS/SSL would be deployed to ensure data interception and malicious attacks are prevented (17) , (19) .…”

Section: Data Transmissionmentioning

confidence: 99%

A Fraud Prevention and Secure Cognitive SIM Card Registration Model

Boateng¹,

Nkrumah²,

Boafo³

et al. 2022

IJST

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Background: Most subscriber identification module (SIM) which usually finds their way to mobile phone users are primarily unregistered or pre-registered. Criminals buy these SIM cards, which have fake personal information, activate them and then use them as a channel of attacking vulnerable mobile phone users. Objective: to investigate the existing standards of the registration process, the weakness and how fraudsters leverage the shortcomings of the existing registration to attack unsuspecting subscribers. Methods: The study also proposed an automated theoretical model as an augmented model to ensure the SIM registration process and implementation become secure. Results: In our investigation, we identified that there had been a rise in fraudulent activities in Ghana, and the criminals have adapted to the new trend of committing a crime using mobile phones. The research presented a proposed conceptual model and algorithm for the new SIM registration. The study further conducted a comparative analysis of the principal component adopted to measure the robustness of the registration platform. The criminals mostly use social engineering tactics to trick their victims into disclosing sensitive information or sending money for services yet to be rendered. MNOs request an ID card before registering and activating SIMs, yet criminals can outwit the registration processes and get SIM cards registered through unapproved channels. Conclusion: We found out that the robustness of our model shall prevent SIM pre-registration and unapproved SIM activation due to verification mechanisms in the proposed model. A cognitive learning https://www.indjst.org/

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