通信与信息技术Issue(5):35-40,6.
一种轻量级SBLL-YOLO模型通信线缆外部入侵检测技术
A lightweight SBLL-YOLO model for external intrusion detection of communication cables
摘要
Abstract
Communication cables serve as the critical transmission links in communication networks.External damage can lead to network paralysis,and protecting them from external intrusions that may cause communication interruptions is a primary task in network inspection.To further improve the detection efficiency of external intrusion on communication cables,provide early warning of intrusion behaviors,and reduce the risk of network failures,this paper proposes a lightweight and high-precision SBLL-YOLO model.First,a Split-Interactive Fusion(SIF)module is introduced in the backbone network to split the input information into channel information and spatial information,which are then fused via convolutional transformation,thereby avoiding the degradation of spatial location information and discriminative semantic features.Second,a Bidirectional Feature Pyramid Network(BiFPN)is incorporated into the neck network to enhance multi-scale feature fusion and extraction capabilities,improving the model's adaptive perception of multi-scale objects.Third,a Lightweight Deformable Convolution Head(LDCN-Head)is proposed to further boost multi-scale object perception,and a loss function named LMDIoU(Minimum Point Distance based IoU)is designed to improve bounding box regression accuracy by optimizing the mini-mum loss between predicted boxes and ground-truth boxes.Experiments on a real-world intrusion dataset demonstrate that,compared with YOLOv5/8/10 models,SBLL-YOLO achieves superior detection performance for small-target intrusion detection with fewer parame-ters and lower computational requirements.It provides an efficient and reliable technical solution for external intrusion monitoring of com-munication network cables.关键词
通信网络线缆/外部入侵检测/分割交互混合模型/双向特征金字塔网络/YOLO/交并比Key words
Communication network cables/External intrusion detection/SIF/BiFPN/YOLO/IoU分类
信息技术与安全科学引用本文复制引用
郤伟,高艳,邓翠艳,王云花..一种轻量级SBLL-YOLO模型通信线缆外部入侵检测技术[J].通信与信息技术,2026,(5):35-40,6.基金项目
2025年山西省高等学校教学改革创新项目"产教融合驱动下大数据专业'能力递进式'人才培养的实践教学体系改革研究"(项目编号:J20250332) (项目编号:J20250332)