This research was performed to expand AFIT's Radio Frequency 'Distinct Native Attribute' (RF-DNA) fingerprinting process to support IEEE 802.15.4 ZigBee communication network applications. The fingerprints were constructed using a 'hybrid' pool of emissions collected under a range of conditions, including anechoic chamber and an indoor office environment where dynamic multi-path and signal degradation factors were present. The RF-DNA fingerprints were input to a Multiple Discriminant Analysis, Maximum Likelihood (MDA/ML) discrimination process and a 1 vs. many 'Looks most like' classification assessment made. The hybrid MDA model was also used for 1 vs. 1 'Looks how much like' verification assessment. ZigBee Device Classification performance was assessed using both full and reduced dimensional fingerprint sets. Reduced dimensional subsets were selected using Dimensional Reduction Analysis (DRA) by rank ordering (1) pre-classification KS-Test p-values and (2) post-classification GRLVQI feature relevance values. Assessment of Zigbee device ID verification capability.

关键词：通信；计算机网络安全；指纹；设备识别；特征抽取

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In view of problems of limited information,dispersed storage data and single function,the paper proposed a design scheme of application management software of multimedia rescue communication system,which can coordinate with front-end device of multimedia rescue communication system to process and store rescue information real-timely,it introduced design of function modules of the software in details through analyzing design requirements of the software and gave implementing principles of technologies of multimedia information fusion and information retrieval used in the software.The actual application showed that the software has functions of video display and storage,multiparty calls,environmental parameters display and alarming,which meets with requirements of diversified information and rescue information sharing of rescue work.

关键词：通信；救援通信；多媒体信息融合；多媒体信息检索；应用管理软件

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In this scheme,the spectrum sensing slot is divided into four equal sub-slots.In the first and third sub-slots,the SS and SRs detect the PU by themselves.Then,in the second sub-slot,if the SRs that detect the PU during the first sub-slot are more than or equal to a prespecified quantity,the corresponding SRs will send their flag signals (FSs) to the SS while the others keep quiet,where the FS is narrowband and indicates that the PU is present.Otherwise,if the SRs that detect the PU during the first sub-slot are less than the prespecified quantity,all the SRs will keep quiet in the second sub-slot.Meanwhile,the SS detects the PU based on the received signals from the PU and SRs.And,the SS uses the same method as employed in the second sub-slot to detect the PU in the last sub-slot wherein the SRs send their FSs based on their detections made during the third sub-slot.Finally,an ultimate decision is made by the OR ruler based on the SS detection results obtained during the spectrum sensing slot. In the end,simulation and numerical results show that our proposed scheme can achieve better performance than the non-cooperative method and an existing cooperative spectrum sensing method.

关键词：通信；认知无线电网络；协作通信；频谱感知

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In this paper,a fuzzy logic based energy-aware dynamic clustering technique is proposed,which increases the network lifetime in terms of LND.Here,two inputs are given in the fuzzy inference system and a node is selected as a cluster head according to the fuzzy cost (output).The main advantage of this protocol is that the optimum number of cluster is formed in every round,which is almost impossible in LEACH (low-energy adaptive clustering hierarchy).Moreover,this protocol has less computational load and complexity.The simulation result demonstrates that this approach performs better than LEACH in terms of energy saving as well as network lifetime.

关键词：通信；模糊逻辑；传感器网络；分簇协议

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The fundamental theories of OFDM and WPM have many similarities in their functions and performance but there are some significant differences which give two systems to be distinctive.0FDM signals only overlap in the frequency domain while the wavelet signals overlap in both time and frequency domain.In the paper,WPM instead of conventional OFDM is used in WIMAX system.The simulation results show the WPM on WIMAX has lower bit error rate compare to conventional OFDM WIMAX.

关键词：通信；OFDM；WPM；BER

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In UWA (underwater acoustic) communications,data rate is severely limited by the confined bandwidth source of aquatic channel.MIMO (Multiple-input Multiple-output) techniques can drastically improve the spectral efficiency,and have been a new point of reference in UWA commutations.For the estimation of UWA channel which is usually sparse,CS (compress sensing) along with STBC (space-time block code) is adopted with improved results.A design of mixing coding MIMO-OFDM is also presented in the proposed method.The validity and the dependability of this scheme are verified by Monte Carlo simulations.

关键词：通信；水声通信；空时分组编码；压缩传感；信道估计

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本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车

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This research invstigated the issue of facilitating network information exchange among models and more specifically concentrated on two primary objectives:(a) identify solutions to the model information exchange problem, focusing on the network, and (b) assess the feasibility of the implementation of the proposed solution and provide recommendation for its practical inmlementation. To address this issue, two options were explored:(a) keeping independent networks in place but developing associations among them in order to facilitate information exchange and (b) using one unified common network for all models.

关键词：通信；信息交换；运输系统；通信网络；GIS

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关键词：通信；水声通信；空时分组编码；CS；信道评估

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This research evaluates the feasibility of using ML algorithms to classify web services within encrypted TLS flows. The ML algorithms are compared primarily based on classification accuracy. The runtimes of the classifiers are also considered, as classifiers must be able determine labels quickly in order to be used in near realtime network protection devices. Five ML algorithms are initially considered when analyzing only the first 12 packets: Naive Bayes, NBTree, LibSVM, J4.8, and AdaBoost+J4.8. AdaBoost+J4.8 and J4.8 produce the best accuracies and runtimes and are tested on flowlengths of 1-20 packets. J4.8 reaches a peak accuracy of 97.99at 14 packets. AdaBoost+J4.8 peaks later at 18 packets with 98.41accuracy. AdaBoost+J4.8 requires 21.55 microseconds to classify a single flow at peak accuracy, while J4.8 requires only 2.37 microseconds to classify at peak accuracy. The quick runtimes and high accuracies of the J4.8 and AdaBoost+J4.8 indicate that these ML algorithms are good choices for near real-time classification of web services within an encrypted TLS flow.

关键词：通信；机器学习；流量分类；密码系统

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