Abstract
Long Term Evolution (“LTE”) or 4G data services are relied upon by many people to process information such as payments, VOIP and applications on their mobile devices. Today this technology is widely used and many people depend upon its security every day for all manner of tasks. GSM traffic, SMS traffic and data traffic are encrypted by the network to prevent third party access. In this paper, we are going to investigate a methodology to overcome the security restrictions of LTE network to extract data from mobile device in real-time. The outcome of this research not only assists the digital investigators to tackle the challenges of extracting relevant artefacts from suspect devices using LTE network but also allows us to evaluate the possibility of extract important data from LTE security network in real-time. We also test our approach with real-world scenarios and services.
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Redmond, N., Tran, LN., Choo, KK.R., Le-Khac, NA. (2020). Long Term Evolution Network Security and Real-Time Data Extraction. In: Le-Khac, NA., Choo, KK. (eds) Cyber and Digital Forensic Investigations. Studies in Big Data, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-030-47131-6_9
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DOI: https://doi.org/10.1007/978-3-030-47131-6_9
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