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Advancing Data Security with Network Coding Approaches Incorporating Hybrid-Key-Based Authentication Method

Joel Osei-AsiamahUniversity of South Africa (Unisa),Department of Science and Technology Education.,Pretoria,Gauteng Province,South AfricaBobonazarov AbdurasulTurin Polytechnic University in Tashkent,Department of Automatic control and Computer engineering,Tashkent,UzbekistanV. Agnes Idhaya SelviMother Teresa Women's University,Department of Computer Science,Kodaikanal,IndiaS. Suma Christal MaryChennai Institute of Technology,Department of AI & DS,Chennai,IndiaSajiv GSaveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences [SIMATS], Saveetha University,Department of ECE,Chennai,Tamil Nadu,IndiaM. Karthik
2025
ABI

Аннотация

Modern network environments are under attack by increasing number of adversarial attacks to corrupt data integrity, confidentiality and authenticity. Conventional security methods find difficulty in configuring themselves to conventional, multi-hop networks, where real time transmission and mobile node are depicted. In order to overcome these limitations, this research has proposed a hybrid-key-based authorization scheme in association with the networking coding technique. The innovation of this approach is that it combines the cryptographic power of asymmetric keys initialization with the efficiency of session-based symmetric authentication keys, providing at the same time both the robust identification of the identity and the simple packet validation. The suggested framework exploits linear network coding to encode packet streams, putting in every coded packet authentication label created via symmetric keys. When sending secure packets, these tags are checked by intermediate nodes before amendment and forwarding, off that only valid packets go through the network. The system is verified using a data set constructed from a simulated military network environment, the latter includes labeled TCP/IP connection as normal and malicious. The data show that the framework can reach high efficiency and robustness, resulting in an overall accuracy of 98.6% for identifying and countering malicious transmission. This demonstrates that the proposed hybrid-key network coding method has a much better performance in the secure data delivery and detection performance, and it can work effectively even under adversarial conditions.

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