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Malicious code passive propagation model and vaccine distribution model of P2P networks

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Journal of Systems Engineering and Electronics 2010年第1期21卷 161-167页

作者： Xiaolong Xu ruchuan wang Fu Xiao School of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 E R. China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 P. R. China

To fight against malicious codes of P2P networks, it is necessary to study the malicious code propagation model of P2P networks in depth. The epidemic of malicious code threatening P2P systems can be divided into the active and passive propagation models and a new passive propagation model of malicious code is proposed, which differentiates peers into 4 kinds of state and fits better for actual P2P networks. From the propagation model of malicious code, it is easy to find that quickly making peers get their patched and upgraded anti-virus system is the key way of immunization and damage control. To distribute patches and immune modules efficiently, a new exponential tree plus （ET＋） and vaccine distribution algorithm based on ET＋ are also proposed. The performance analysis and test results show that the vaccine distribution algorithm based on ET＋ is robust, efficient and much more suitable for P2P networks.

关键词： data security and computer security computer virus,peer-to-peer computing propagation immune exponential tree.

T-QoS-aware based parallel ant colony algorithm for services composition

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Journal of Systems Engineering and Electronics 2015年第5期26卷 1100-1106页

作者： Lin Zhang Kaili Rao ruchuan wang College of Computer Nanjing University of Posts and Telecommunications Institute of Computer Technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Nangjing University of Posts and Telecommunications

In order to make cloud users get credible, high-quality composition of services, the trust quality of service aware(TQoS-aware) based parallel ant colony algorithm is proposed. Our approach takes the service credibility as the weight of the quality of service, then calculates the trust service quality T-QoS for each service, making the service composition situated in a credible environment. Through the establishment on a per-service T-QoS initialization pheromone matrix, we can reduce the colony’s initial search time. By modifying the pheromone updating rules and introducing two ant colonies to search from different angles in parallel,we can avoid falling into the local optimal solution, and quickly find the optimal combination of global solutions. Experiments show that our approach can combine high-quality services and the improvement of the operational success rate. Also, the convergence rate and the accuracy of optimal combination are improved.

关键词： services composition trust service quality ant colony algorithm parallel

Collusion detector based on G-N algorithm for trust model

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Journal of Systems Engineering and Electronics 2016年第4期27卷 926-935页

作者： Lin Zhang Na Yin Jingwen Liu ruchuan wang College of Computer Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nangjing University of Posts and TelecommunicationsNangjing 210003China

In the open network environment, malicious attacks to the trust model have become increasingly serious. Compared with single node attacks, collusion attacks do more harm to the trust model. To solve this problem, a collusion detector based on the GN algorithm for the trust evaluation model is proposed in the open Internet environment. By analyzing the behavioral characteristics of collusion groups, the concept of flatting is defined and the G-N community mining algorithm is used to divide suspicious communities. On this basis, a collusion community detector method is proposed based on the breaking strength of suspicious communities. Simulation results show that the model has high recognition accuracy in identifying collusion nodes, so as to effectively defend against malicious attacks of collusion nodes.

关键词： trust model collusion detector G-N algorithm

Low-power task scheduling algorithm for large-scale cloud data centers

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Journal of Systems Engineering and Electronics 2013年第5期24卷 870-878页

作者： Xiaolong Xu Jiaxing Wu Geng Yang ruchuan wang College of Computer Nanjing University of Posts and Telecommunications State Key Laboratory for Novel Software Technology Nanjing University Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications

How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper presents a novel low-power task scheduling algorithm （L3SA） for large-scale cloud data centers. The winner tree is introduced to make the data nodes as the leaf nodes of the tree and the final winner on the purpose of reducing energy consumption is selected. The complexity of large-scale cloud data centers is fully consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and performance analysis show that the proposed algorithm can effectively improve the node utilization, and reduce the overall power consumption of the cloud data center.

关键词： cloud computing data center task scheduling energy consumption.

Secure Localization Technology Based on Dynamic Trust Management in Wireless Sensor Networks

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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

Load Balanced Coding Aware Multipath Routing for Wireless Mesh Networks

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Chinese Journal of Electronics 2015年第1期24卷 8-12页

作者： SHAO Xing wang ruchuan HUANG Haiping SUN Lijuan College of Computer Nanjing University of Posts and Telecommunications College of Information Engneering Yancheng Institutue of Technology Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology

The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation problem in areas with coding opportunities, and degrades the network performance. This paper proposes a Load balanced coding aware multipath routing(LCMR)for wireless mesh networks. To facilitate the evaluation of discovered multiple paths and the tradeoffs between coding opportunity and load balancing, a novel routing metric, Load balanced coding aware routing metric(LCRM) is presented, which considers the load degree of nodes when detects coding opportunities. LCMR could spread traffic over multipath to further balance load. Simulation results demonstrate that LCMR could evenly spread the traffic over the network with increasing network throughput in a heavy load at the expense of some coding opportunities.

关键词： Load balanced Coding aware Multipath Routing Wireless mesh networks.

Intrusion Detection Methods Based on Incomplete RFID Traces

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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

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

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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 ***,some opportunistic employees may consign others to punch their time cards,which hampers the authenticity of attendance and effectiveness of record ***,it is necessary to develop an innovative anti-cheating system for office ***-Frequency IDentification(RFID)offers new solutions to solve such problems because of its strong anti-interference capability and *** 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 *** with traditional attendance mechanisms,RFID-based attendance systems are based on living biological characteristics,which greatly reduces the possibility of false *** evaluate the performance of our system,we conducted extensive *** 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

Improved Cross-Corpus Speech Emotion Recognition Using Deep Local Domain Adaptation

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Chinese Journal of Electronics 2023年第3期32卷 640-646页

作者： ZHAO Huijuan YE Ning wang ruchuan College of Internet of Things Nanjing University of Posts and Telecommunications College of Computer and Software Nanjing Vocational University of Industry Technology College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network

Due to the scarcity of high-quality labeled speech emotion data, it is natural to apply transfer learning to emotion recognition. However, transfer learning-based speech emotion recognition becomes more challenging because of the complexity and ambiguity of emotion. Domain adaptation based on maximum mean discrepancy considers marginal alignment of source domain and target domain, but not pay regard to class prior distribution in both domains, which results in the reduction of transfer efficiency. In order to address the problem, this study proposes a novel cross-corpus speech emotion recognition framework based on local domain adaption. A category-grained discrepancy is used to evaluate the distance between two relevant domains. According to research findings, the generalization ability of the model is enhanced by using the local adaptive *** with global adaptive and non-adaptive methods, the effectiveness of cross-corpus speech emotion recognition is significantly improved.

关键词： Emotion recognition Adaptation models Transfer learning Speech recognition Complexity theory