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    ARTICLE

    Advancing 5G Network Applications Lifecycle Security: An ML-Driven Approach

    Ana Hermosilla1,2,*, Jorge Gallego-Madrid1, Pedro Martinez-Julia3, Jordi Ortiz4, Ved P. Kafle3, Antonio Skarmeta1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1447-1471, 2024, DOI:10.32604/cmes.2024.053379

    Abstract As 5th Generation (5G) and Beyond 5G (B5G) networks become increasingly prevalent, ensuring not only network security but also the security and reliability of the applications, the so-called network applications, becomes of paramount importance. This paper introduces a novel integrated model architecture, combining a network application validation framework with an AI-driven reactive system to enhance security in real-time. The proposed model leverages machine learning (ML) and artificial intelligence (AI) to dynamically monitor and respond to security threats, effectively mitigating potential risks before they impact the network infrastructure. This dual approach not only validates the functionality… More >

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