Open AccessPreventing Man-in-The-Middle (MiTM) Attack of GSM Calls
Author(s) -
Bodunrin Isa Bakare,
S. M. Ekolama
Publication year - 2021
Publication title -
european journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2736-5751
DOI - 10.24018/ejece.2021.5.4.336
Subject(s) - man in the middle attack , gsm , computer network , computer science , computer security , service data point , the internet , artificial neural network , intrusion , telecommunications , mobile telephony , encryption , artificial intelligence , gsm services , operating system , mobile radio , geochemistry , geology
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.