检索结果-南通市图书馆

Secure Localization technology Based on Dynamic Trust Management in wireless sensor networks

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2021年第4期30卷 759-768页

作者： LI Peng YU Xiaotian XU He WANG Ruchuan School of Computer Science and technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

wireless sensor networks have critical applications in various fields, and the algorithm of their secure localization has become a vital technology to support a network. In the light of the self-organization, random deployment and dynamic topology, the localization process is vulnerable to various kinds of malicious attacks. The model of dynamic trust management for a given node is proposed to deal with security concerns in wireless sensor networks. The trust computation is divided into three stages, which are the stage of trust initialization,trust establishment, and trust evolution. The initial value of a global trust relationship is established through a corresponding global trust relation graph in the initial stage of trust. The trust value of each node is calculated by the attribute value in the stage of trust establishment. In the evolution of trust, the iterative process of trust value is accelerated via the finite state machine. Compared with the existing wireless sensor networks, simulation results show that the proposed security localization technology method can resist many kinds of attacks with low communication and time consumption.

关键词： wireless sensor networks Secured localization Dynamic trust management Finite state machines

Echo State Network Based on Improved Knowledge Distillation for Edge Intelligence

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2023年

作者： ZHOU Jian JIANG Yuwen XU Lijie ZHAO Lu XIAO Fu College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

Echo state network (ESN) as a novel artificial neural network has drawn much attention from time series prediction in edge intelligence. ESN is slightly insufficient in long-term memory, thereby impacting the prediction performance. It suffers from a higher computational overhead when deploying on edge devices. We firstly introduce the knowledge distillation into the reservoir structure optimization, and then propose the echo state network based on improved knowledge distillation(ESN-IKD) for edge intelligence to improve theprediction performance and reduce the computational overhead.The model of ESN-IKD is constructed with the classic ESN as a student network, the long and short-term memory network as a teacher network, and the ESN with double loop reservoir structure as an assistant network.The student network learns the long-term memory capability of the teacher network with the help of the assistant network. The training algorithm ofk ESN-IKD isproposed to correct the learning direction through the assistant network and eliminate the redundant knowledge through the iterative pruning. It can solve the problems of error learning and redundant learning in the traditional knowledge distillation process. Extensive experimental simulation shows that ESN-IKD has a good time series prediction performance in both long-term and short-term memory, and achieves a lower computational overhead.

关键词：

Echo State Network Based on Improved Knowledge Distillation for Edge Intelligence

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2024年第1期33卷 101-111页

作者： Jian ZHOU Yuwen JIANG Lijie XU Lu ZHAO Fu XIAO College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

Echo state network(ESN) as a novel artificial neural network has drawn much attention from time series prediction in edge intelligence. ESN is slightly insufficient in long-term memory, thereby impacting the prediction performance. It suffers from a higher computational overhead when deploying on edge devices. We firstly introduce the knowledge distillation into the reservoir structure optimization, and then propose the echo state network based on improved knowledge distillation(ESN-IKD) for edge intelligence to improve the prediction performance and reduce the computational overhead. The model of ESN-IKD is constructed with the classic ESN as a student network, the long and short-term memory network as a teacher network, and the ESN with double loop reservoir structure as an assistant network. The student network learns the long-term memory capability of the teacher network with the help of the assistant network. The training algorithm of ESN-IKD is proposed to correct the learning direction through the assistant network and eliminate the redundant knowledge through the iterative pruning. It can solve the problems of error learning and redundant learning in the traditional knowledge distillation process. Extensive experimental simulation shows that ESN-IKD has a good time series prediction performance in both long-term and short-term memory, and achieves a lower computational overhead.

关键词： Echo state network Reservoir structure optimization Knowledge distillation Edge intelligence Time series prediction

Intrusion Detection Methods Based on Incomplete RFID Traces

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2017年第4期26卷 675-680页

作者： LI Peng WANG Zhen XU He ZHU Feng WANG Ruchuan School of Computer Science Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

According to the Radio frequency identification(RFID) tag cloning attack problems of RFID system and the existing problems of intrusion detection research based on incomplete RFID traces, this paper proposes a method of intrusion detection by combining the Markov chain technology and probability statistics technology. We use this method to calculate the threshold that is used to determine whether the tag event is a cloning tag intrusion one. Current research focuses on RFID intrusion detection under the condition of complete RFID traces, such as encryption algorithm improvement, tag authentication protocol improvement, and track and trace technology in RFID supply chain. RFID traces are occasionally to be incomplete, which causes the above methods to be inefficient. Our method proposed in this paper is the solution to incomplete RFID traces which makes up for the study of RFID intrusion detection research.

关键词： Intrusion detection Radio frequency identification Information security Tag cloning attack Incomplete RFID traces

research on Network Malicious Code Immune Based on Imbalanced Support Vector Machines

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2015年第1期24卷 181-186页

作者： LI Peng WANG Ruchuan College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

The malicious computer code immune system and the biological immune system are highly similar:both preserve the stability of the system in real time in a constantly changing environment. This similarity is exploited to design a malicious code immune system to solve the malware active defense problem. The malicious code immunization project is mainly composed of four major components: the immune information collection program,immune information filtering processing program, immunization information discrimination program, and immune response program. An imbalanced support vector machine method was applied to optimize output results of malicious code immunization, thereby removing uncertain malicious code immune outputs. This demonstrates in detail the feasibility of the imbalanced support vector machine method in optimizing the immunization program output data. We showed that an imbalanced support vector machines can optimize the outputs of the malicious code immune system by removing glitches from the outputs. As a result,the machine helps to determine the precise time of the emergence of the immune response.

关键词： Network malicious code immune Imbalanced support vector machines Computer network security Artificial intelligence Immunity theory.

New spray and wait protocol with node activity in heterogeneous delay tolerant networks

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

The Journal of China Universities of Posts and Telecommunications 2015年第2期22卷 60-68页

作者： Wu Jiagao Ye Ke Zhu Yiji Liu Linfeng College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

The spray and wait protocol is a classic copy-limited spraying protocol in delay tolerant networks, in which, the binary spray mode can be improved for heterogeneous delay tolerant networks. In this article, a new conception of node activity was defined to weigh the importance of nodes in aspect of message dissemination in the whole network. A new spray and wait protocol with node activity was proposed to improve the performance in heterogeneous delay tolerant networks. A mathematical model used under varieties of the spraying protocols was also proposed to analyze the expected delay of the protocol. Simulations show that the spray token proportion with node activity is optimal and the new protocol is of better performance than other related protocols. Therefore, this protocol has high efficiency and good scalability.

关键词： delay tolerant network （DTN） routing protocol spray and wait node activity mathematical model

维普期刊数据库

Communication and performance evaluation of 3-ary n-cubes onto network-on-chips

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2022年第7期65卷 245-247页

作者： Weibei FAN Jianxi FAN Yujie ZHANG Zhijie HAN Guoliang CHEN School of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications School of Computer Science and technology Soochow University

Dear editor, Network-on-chip (No C) has the advantages of highly integrated, ultralow-power, low cost and small volume, and it has become one of the mainstreams of VLSI system design [1, 2]. Wirelength and layout area...

关键词：

Smart Attendance System Based on Frequency Distribution Algorithm with Passive RFID Tags

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Tsinghua Science and technology 2020年第2期25卷 217-226页

作者： Qianwen Miao Fu Xiao Haiping Huang Lijuan Sun Ruchuan Wang School of Computer Nanjing University of Posts and TelecommunicationsNanjing 210046China Department of Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210046China

Staff attendance information has always been an important part of corporate management.However,some opportunistic employees may consign others to punch their time cards,which hampers the authenticity of attendance and effectiveness of record keeping.Hence,it is necessary to develop an innovative anti-cheating system for office attendance.Radio-Frequency IDentification(RFID)offers new solutions to solve such problems because of its strong anti-interference capability and non-intrusiveness.In this paper,we present a smart attendance system that extracts distinguishable phase characteristics of individuals to enable recognition of various targets.A frequency distribution histogram is extracted as a fingerprint for recognition and the K-means clustering method is utilized for more fine-grained recognition of targets with similar features.Compared with traditional attendance mechanisms,RFID-based attendance systems are based on living biological characteristics,which greatly reduces the possibility of false records.To evaluate the performance of our system,we conducted extensive experiments.The results of which demonstrate the efficiency and accuracy of our system with an average accuracy of 92%.Moreover,the system evaluation shows that our design is robust against differences in the clothing worn and time of day,which further verifies the successful performance of our system.

关键词： frequency distribution Radio-Frequency IDentification(RFID) office attendance K-means clustering

维普期刊数据库

research on Security of key Algorithms in Intelligent Driving System

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2019年第1期28卷 29-38页

作者： LIU Shangdong WU Ye JI Yimu CHEN Chen BI Qiang JIAO Zhipeng GONG Jian WANG Ruchuan School of Computer Science and Engineering Southeast University School of Computer Science Nanjing University of Posts and Telecommunications jiangsu Provincial key laboratory of Computer Network technology Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

With the rapid development of the smart driving technology, the security of smart driving algorithms is becoming more and more important. Four core smart driving algorithms are determined by studying the architecture of smart driving algorithm. These algorithms comprise local path planning, pedestrian detection, lane detection and obstacle detection. The security issues of these algorithms are investigated by closely examining the work carried out by the algorithms. We found that there are vulnerabilities in all four algorithms. These vulnerabilities can cause abnormality and even road accidents for the smart cars. The final experiment shows that the vulnerabilities of these algorithms do exist under certain circumstances and therefore have high security risks. This study will lay a foundation to improve the security of the smart driving system.

关键词： Smart driving algorithm Local path planning Pedestrian detection Lane line detection Obstacle detection