Cross Layer collaborative active adaptive security framework for wireless distribution network protection system

The integration of wireless communication and distribution network protection services creates a complex attack surface, where threats can dynamically migrate between information space and physical domain. The existing static security measures are difficult to defend against such cross layer attacks. This article proposes PROTOCT, an active adaptive security framework that achieves deep collaboration between protection services and underlying wireless networks. Its core is a cloud edge collaborative deep learning model (MFO-1DCNN) that performs real-time intrusion detection by analyzing the multilayer protocol semantics of encrypted traffic. Once an anomaly is detected, the framework triggers a dual adaptive response. Firstly, this article adopts a dynamic policy orchestration mechanism inspired by Software Defined Networking (SDN), which immediately reconfigures the network access control list and isolates compromised data flows. Secondly, this article initiates a wireless resource reallocation process that perceives service quality, dynamically prioritizing bandwidth and time slots to critical protection commands and integrity check messages, rather than ordinary data. This closed-loop feedback protects the security status of the business by directly regulating the configuration of the communication layer, ensuring a resilient adaptive defense. Compared with traditional solutions, the average attack response of this method remains at about 4.5 ms, and the detection accuracy remains stable at over 98%, achieving a higher level of cross layer security assurance.