The attacks on in-vehicle Controller Area Network(CAN)bus messages severely disrupt normal communication between vehicles.Therefore,researches on intrusion detection models for CAN have positive business value for veh...The attacks on in-vehicle Controller Area Network(CAN)bus messages severely disrupt normal communication between vehicles.Therefore,researches on intrusion detection models for CAN have positive business value for vehicle security,and the intrusion detection technology for CAN bus messages can effectively protect the invehicle network from unlawful attacks.Previous machine learning-based models are unable to effectively identify intrusive abnormal messages due to their inherent shortcomings.Hence,to address the shortcomings of the previous machine learning-based intrusion detection technique,we propose a novel method using Attention Mechanism and AutoEncoder for Intrusion Detection(AMAEID).The AMAEID model first converts the raw hexadecimal message data into binary format to obtain better input.Then the AMAEID model encodes and decodes the binary message data using a multi-layer denoising autoencoder model to obtain a hidden feature representation that can represent the potential features behind the message data at a deeper level.Finally,the AMAEID model uses the attention mechanism and the fully connected layer network to infer whether the message is an abnormal message or not.The experimental results with three evaluation metrics on a real in-vehicle CAN bus message dataset outperform some traditional machine learning algorithms,demonstrating the effectiveness of the AMAEID model.展开更多
The fiber optic technology has matured to the point where Metropolitan Area Networks(MAN)can be built to operate at speeds from 150Mbps to more than 1Gbps.This paper in-troduces an experimental fiber optic MAN.The top...The fiber optic technology has matured to the point where Metropolitan Area Networks(MAN)can be built to operate at speeds from 150Mbps to more than 1Gbps.This paper in-troduces an experimental fiber optic MAN.The topology of this MAN is an open looped dualbus,and the data rate at each bus is 155.520 Mbps.We apply ATM technique and modified802.6 DQDB MAC protocol,using universal packet switching.The cell format is completelycompatible with B-ISDN cell.Through gateway the MAN can be interconnected with theBroadband Data Microwave Network,VSAT,Satellite Broadcast TV System,and Ether-net.There are up to 254 nodes connecting to the network,and the distance between two ad-jacent nodes covers more than 5 kilometers.We use 1.3μm SMF as the transmission medi-um.This paper emphasizes on the design and implementation of the Medium Access Control(MAC)Protocol.展开更多
基金supported by Chongqing Big Data Engineering Laboratory for Children,Chongqing Electronics Engineering Technology Research Center for Interactive Learning,Project of Science and Technology Research Program of Chongqing Education Commission of China. (No.KJZD-K201801601).
文摘The attacks on in-vehicle Controller Area Network(CAN)bus messages severely disrupt normal communication between vehicles.Therefore,researches on intrusion detection models for CAN have positive business value for vehicle security,and the intrusion detection technology for CAN bus messages can effectively protect the invehicle network from unlawful attacks.Previous machine learning-based models are unable to effectively identify intrusive abnormal messages due to their inherent shortcomings.Hence,to address the shortcomings of the previous machine learning-based intrusion detection technique,we propose a novel method using Attention Mechanism and AutoEncoder for Intrusion Detection(AMAEID).The AMAEID model first converts the raw hexadecimal message data into binary format to obtain better input.Then the AMAEID model encodes and decodes the binary message data using a multi-layer denoising autoencoder model to obtain a hidden feature representation that can represent the potential features behind the message data at a deeper level.Finally,the AMAEID model uses the attention mechanism and the fully connected layer network to infer whether the message is an abnormal message or not.The experimental results with three evaluation metrics on a real in-vehicle CAN bus message dataset outperform some traditional machine learning algorithms,demonstrating the effectiveness of the AMAEID model.
文摘The fiber optic technology has matured to the point where Metropolitan Area Networks(MAN)can be built to operate at speeds from 150Mbps to more than 1Gbps.This paper in-troduces an experimental fiber optic MAN.The topology of this MAN is an open looped dualbus,and the data rate at each bus is 155.520 Mbps.We apply ATM technique and modified802.6 DQDB MAC protocol,using universal packet switching.The cell format is completelycompatible with B-ISDN cell.Through gateway the MAN can be interconnected with theBroadband Data Microwave Network,VSAT,Satellite Broadcast TV System,and Ether-net.There are up to 254 nodes connecting to the network,and the distance between two ad-jacent nodes covers more than 5 kilometers.We use 1.3μm SMF as the transmission medi-um.This paper emphasizes on the design and implementation of the Medium Access Control(MAC)Protocol.
