Cyber attacks and privacy protection distributed consensus algorithm for multi-agent systems by Ming XU, Baojun ZHANG, Yiming WU, Chenduo YING, Ning ZHENG

“…To solve the consensus problem of multi-agent systems in the environment of cyber attacks and information eavesdropping, an average consensus algorithm that can effectively resist network denial of service (DoS) attacks and protect nodes’ state privacy was proposed.Firstly, combined with the characteristics of DoS attacks in networked control systems, a periodic DoS attack model related to time was constructed.Then a distributed network node information processing mechanism based on differential privacy was proposed by using the information interaction between neighbor nodes, and then it was introduced into the average consensus algorithm.Furthermore, combined with the event-triggered mechanism, a consensus algorithm method suitable for undirected communication networks under DoS attacks was proposed, and its convergence and privacy protection performance were analyzed strictly mathematically.Finally, the effectiveness of the proposed algorithm was verified by a numerical simulation experiment and hardware experiment.…”
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Cyber attacks and privacy protection distributed consensus algorithm for multi-agent systems by Ming XU, Baojun ZHANG, Yiming WU, Chenduo YING, Ning ZHENG

“…To solve the consensus problem of multi-agent systems in the environment of cyber attacks and information eavesdropping, an average consensus algorithm that can effectively resist network denial of service (DoS) attacks and protect nodes’ state privacy was proposed.Firstly, combined with the characteristics of DoS attacks in networked control systems, a periodic DoS attack model related to time was constructed.Then a distributed network node information processing mechanism based on differential privacy was proposed by using the information interaction between neighbor nodes, and then it was introduced into the average consensus algorithm.Furthermore, combined with the event-triggered mechanism, a consensus algorithm method suitable for undirected communication networks under DoS attacks was proposed, and its convergence and privacy protection performance were analyzed strictly mathematically.Finally, the effectiveness of the proposed algorithm was verified by a numerical simulation experiment and hardware experiment.…”
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Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints by Xianmin Song, Tianshu Zhan, Haitao Li, Bo Liu, Yunxiang Zhang, Xin Liu

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Self-Adaptive Sampling Rate to Improve Network Lifetime using Watchdog Sensor and Context Recognition in Wireless Body Sensor Networks by Hamid Mehdi, Houman Zarrabi, Ahmad Khadem Zadeh, AmirMasoud Rahmani

“…One of the most important problems regarding Wireless Body Sensor Network (WBSNs) is network lifetime. …”
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Analysis of hotspots of urban eco-environmental problems: A case study of Shenzhen City by Yue Cai, Rencai Dong, Anxin Lian, Zerui Wang, Yiqiao Zhao, Qinrui Luo, Change Liu

“…The results show a positive correlation between the PM2.5 concentration distribution and the points of interest, road network density, number of dead-end roads, and average building height in Shenzhen. …”
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Universal Continuous Model of Active Power Factor Correctors by Amelina M., Amelin S., Yakimenko I.

“…The models are designed to solve optimization problems aimed at increasing the energy efficiency of these devices. …”
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Linear Diophantine Fuzzy Einstein Aggregation Operators for Multi-Criteria Decision-Making Problems by Aiyared Iampan, Gustavo Santos García, Muhammad Riaz, Hafiz Muhammad Athar Farid, Ronnason Chinram

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Cost calculation method development for various types of engine fuel filling for first category automobiles by M. V. Banket, D. V. Shapoval, I. A. Eychler, D. S. Aleshko, I. V. Pogulyaeva

“…Reducing the operating costs of motor fuel for cars is possible through the use of cheaper and at the same time less environmentally harmful alternative energy sources. The main problem with the use of these energy sources, especially for 1 category cars, is the underdeveloped infrastructure of the network of filling stations for alternative fuels. …”
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Reliable heuristic mapping method for survivable virtual network by Qiang ZHU, Hui-qiang WANG, Chun-guang MA, Guang-sheng FENG, Hong-wu LV

“…For reliable virtual network mapping problem,virtual network survivability constraints are introduced to ensure that the rest of the mapped virtual network remains connected under a single node failure condition in the substrate network,which makes sure the completeness of the virtual network and continuity of services.In order to reduce cost of the substrate network,the reliable heuristic mapping problem is considered as an integer linear programming model and a reliable heuristic mapping method for survivable virtual network is proposed to solve the problem.The simulation results show that average usage of links is reduced and the success rate,average revenue of mapping,recovery success rate of virtual network are increased compared with the existing reliable mapping algorithms.…”
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Fine-granularity inference and estimations to network traffic for SDN. by Dingde Jiang, Liuwei Huo, Ya Li

“…However, the end-to-end network traffic matrix's inferences and estimations are a challenging problem. …”
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PERFORMANCE REQUIRED FOR COMMON-USE COMPONENTS OF COMPUTER NETWORKS by BOLUN, Ion

“…Based on Jackson’s partitioning theorem and considering the linear dependence of the costs of channels, routers, and servers on their performance, a simplified analytical model for these components of the network is defined. Using this model, two optimization problems are formulated: minimizing the average response time to user requests of data processing and minimizing the summary cost of servers, channels and routers of the computer network. …”
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Precision Improvement for the Detection of TGC via RBF Network by Yue Yan

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Directed broadcasting with mobility prediction for vehicular sensor networks by Si-Ho Cha, Jong-Eon Lee, Minwoo Ryu

“…By using LAT for broadcasting propagation, MPDB protocol can intensify the reliability of the message dissemination and also prevent the broadcast storm problem in vehicular networks. The simulation results show that MPDB protocol has better performance improvement in terms of average packet rate and packet delay.…”
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Method of dynamic random network coding in DTN environment by Guang-hong DENG, Wan-hua CAO, Jian ZHANG, Li FENG, Xiong CHENG

“…For working out this problem, a dynamic random network coding transfer method (DRNC) was proposed. …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

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Image Compression Based on Clustering Fuzzy Neural Network by Shahba Khaleel, Jamal Majeed, Bayda Khaleel

“…This new approach includes new objective function, and its minimization by energy function based on unsupervised two dimensional fuzzy Hopfield neural network. New objective function consists of a combination of classification entropy function and average distance between image pixels and cluster centers. …”
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Energy-Aware Task Allocation for Multi-Cloud Networks by Sambit Kumar Mishra, Sonali Mishra, Ahmed Alsayat, N Z Jhanjhi, Mamoona Humayun, Kshira Sagar Sahoo, Ashish Kr. Luhach

“…The same is implemented and analyzed to understand the improved performance of the heterogeneous multi-cloud network. The proposed task allocation algorithm (Energy-aware Task Allocation in Multi-Cloud Networks (<italic>ETAMCN</italic>)) minimizes the overall energy consumption and also reduces the makespan. …”
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Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang by Le Hoang Son, Truong Nguyen Song Ha, Nguyen Ngoc Phuong, Phan Bao An

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A Max-Flow Approach to Random Tensor Networks by Khurshed Fitter, Faedi Loulidi, Ion Nechita

“…The entanglement entropy of a random tensor network (RTN) is studied using tools from free probability theory. …”
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Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

“…Abstract Background Bayesian Network (BN) modeling is a prominent methodology in computational systems biology. …”
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