为及时隔离局域网内易受攻击的异常物联网设备,对网络管理员而言,具备高效的设备分类识别能力至关重要。现有方法中所选择的特征与设备关联性不高,且设备状态的差异会导致样本数据不平衡。针对上述问题,文中提出了一种基于流量和文本指...为及时隔离局域网内易受攻击的异常物联网设备,对网络管理员而言,具备高效的设备分类识别能力至关重要。现有方法中所选择的特征与设备关联性不高,且设备状态的差异会导致样本数据不平衡。针对上述问题,文中提出了一种基于流量和文本指纹的物联网设备分类识别模型FT-DRF(Flow Text-Double Random Forest)。首先设计特征挖掘模型,选取稳定的流统计数据作为设备流量指纹;其次基于HTTP,DNS和DHCP等应用层协议头部字段中的敏感文本信息生成设备文本指纹;在此基础上,对数据进行预处理并生成特征向量;最后,设计基于双层随机森林的机器学习算法对设备进行分类识别。对由13个物联网设备组成的模拟智能家居环境数据集和公共数据集进行有监督分类识别实验,结果表明,FT-DRF模型能够识别网络摄像头、智能音箱等物联网设备,平均准确率可达99.81%,相比现有典型方法提升了2%~5%。展开更多
Device-to-device （D2D） communication is an emerging technology for improving cellular networks, which plays an important role in realizing Internet of Things （IoT）. The spectrum efficiency, energy efficiency and t...Device-to-device （D2D） communication is an emerging technology for improving cellular networks, which plays an important role in realizing Internet of Things （IoT）. The spectrum efficiency, energy efficiency and throughput of network can be enhanced by the cooperation among multiple D2D users in a self-organized method. In order to limit the interference of D2D users and load off the energy consumption of D2D users without decreasing communication quality, an interference- limited multi-user cooperation scheme is proposed for multiple D2D users to solve the energy problem and the interference problem in this paper. Multiple D2D users use non-orthogonal spectrums to form clusters by self-organized method. Multiple D2D users are divided into different cooperative units. There is no interference among different cooperative units so as to limit the interference of each D2D user in cooperative units. When the link capacity cannot meet the requirements of the user rate, it will produce an interrupt event. In order to evaluate the communication quality, the outrage probability of D2D link is derived by considering link delay threshold, data rate and interference. Besides the energy availability and signal-to-noise ratio （SNR） of each D2D user, the distance between D2D users is considered when selecting the relaying D2D users so as to enhance the signal-to-interference-plus-noise ratio （SINR） of D2D receiving users. Combining the derived outrage probability, the relationships among the average link delay threshold, the efficiency of energy and the efficiency of capacity are studied. The simulation results show that the interference-limited multiple D2D users cooperation scheme can not only help to offioad energy consumption and limit the interference of D2D users, but also enhance the efficiency of energy and the efficiency of capacity.展开更多
文摘为及时隔离局域网内易受攻击的异常物联网设备,对网络管理员而言,具备高效的设备分类识别能力至关重要。现有方法中所选择的特征与设备关联性不高,且设备状态的差异会导致样本数据不平衡。针对上述问题,文中提出了一种基于流量和文本指纹的物联网设备分类识别模型FT-DRF(Flow Text-Double Random Forest)。首先设计特征挖掘模型,选取稳定的流统计数据作为设备流量指纹;其次基于HTTP,DNS和DHCP等应用层协议头部字段中的敏感文本信息生成设备文本指纹;在此基础上,对数据进行预处理并生成特征向量;最后,设计基于双层随机森林的机器学习算法对设备进行分类识别。对由13个物联网设备组成的模拟智能家居环境数据集和公共数据集进行有监督分类识别实验,结果表明,FT-DRF模型能够识别网络摄像头、智能音箱等物联网设备,平均准确率可达99.81%,相比现有典型方法提升了2%~5%。
基金This work was supported by the National Natural Science Foundation of China under Grant Nos. 61371097 and 61401051, the Chongqing Natural Science Foundation of China under Grant No. cstc2014jcyjA40039, and the Science and Technology Research Project of Chongqing Municipal Education Committee of China under Grant No. KJ1400402.
文摘Device-to-device （D2D） communication is an emerging technology for improving cellular networks, which plays an important role in realizing Internet of Things （IoT）. The spectrum efficiency, energy efficiency and throughput of network can be enhanced by the cooperation among multiple D2D users in a self-organized method. In order to limit the interference of D2D users and load off the energy consumption of D2D users without decreasing communication quality, an interference- limited multi-user cooperation scheme is proposed for multiple D2D users to solve the energy problem and the interference problem in this paper. Multiple D2D users use non-orthogonal spectrums to form clusters by self-organized method. Multiple D2D users are divided into different cooperative units. There is no interference among different cooperative units so as to limit the interference of each D2D user in cooperative units. When the link capacity cannot meet the requirements of the user rate, it will produce an interrupt event. In order to evaluate the communication quality, the outrage probability of D2D link is derived by considering link delay threshold, data rate and interference. Besides the energy availability and signal-to-noise ratio （SNR） of each D2D user, the distance between D2D users is considered when selecting the relaying D2D users so as to enhance the signal-to-interference-plus-noise ratio （SINR） of D2D receiving users. Combining the derived outrage probability, the relationships among the average link delay threshold, the efficiency of energy and the efficiency of capacity are studied. The simulation results show that the interference-limited multiple D2D users cooperation scheme can not only help to offioad energy consumption and limit the interference of D2D users, but also enhance the efficiency of energy and the efficiency of capacity.
