Intrusion Signalling System by Using AH-MAC in Network-Coded Mobile Small Cells

5G networks that can cover urban areas through the use of on-demand, anywhere-andanytime deployments of small mobile cells made possible by Network Coding (NC) were considered the best schema.Pollution attacks, whereby intermediary nodes alter packets in transit, pose a threat due to their vulnerabilities.The receivers will experience incorrect decoding as a result of these polluted packets.It is critical to identify which packets are polluted in mobile small cells enabled by NC.In a small cell environment enabled by NC, the proposed ISS-AH-MAC (Intrusion Signalling System using Adaptable Homomorphic MAC) may successfully detect polluted packets.Only nodes that have been determined to have high trust levels are allowed to participate in the network's communication.The adaptable variable will be updated only when data packets undergo changes.The attacker and their surrounding areas can be located with relative ease thanks to clustering based on regions.Following identification, it assigns labels to the nodes to help identify and exclude malicious ones during future data transfers.In addition to detecting polluted packets, this method pinpoints the location of the attacker, allowing for the mitigation of future packet pollution to a certain degree.Network intrusion detection is efficient using the suggested approach, which achieves 98% accuracy.Experimental results show that the proposed model achieves better detection accuracy and lower time complexity compared to traditional models.