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Preventing Man-in-The-Middle (MiTM) Attack of GSM Calls

Author

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  • B. I. Bakare
  • S. M. Ekolama

Abstract

Preventing man-in-the-middle (MiTM) attack using Artificial Neural Network refers to an in depth analysis of how calls are made vis-a-viz the structure of the inter-related operations that binds the respective subsystems within the GSM Architecture during calls. Calls in the GSM network is a request from aMobile Station (MS). This request has faced severe attacks due to the network’s access to Internet presence that has made its way into cellular telephony, creating a vulnerable and susceptible network attack such as Man-in-the-middle. This paper proffer solution to Man-in-the-middle attack during GSM calls by using Artificial Neural Network which can be embedded into the Protocol Stack to detect network intrusion and prevent Man-in-the-middle attack to obtain hitch-free local and international calls.

Suggested Citation

  • B. I. Bakare & S. M. Ekolama, 2021. "Preventing Man-in-The-Middle (MiTM) Attack of GSM Calls," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 5(4), pages 63-68, July.
    • Handle: RePEc:epw:ejece0:v:5:y:2021:i:4:id:19336
    DOI: 10.24018/ejece.2021.5.4.336
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    References listed on IDEAS

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    1. Bodunrin Isa Bakare & Sunny Orike & D. I. Oko, 2020. "Evaluation and Analysis of the Deployment of Green Communication Technology in GSM," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(1), January.
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