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| 1 | When Edge Computing Meets IoT Systems: Analysis of Case Studies显示文摘On a macroscopic level,an edge computing architecture looks like a distributed and decentralized IT(Information Technology)architecture.More in detail,it could be defined as a mesh network of micro data centers capable of processing and storing critical data locally,and to transmit all data received and/or processed to a central data center or a cloud storage repository.This network topology,also taking advantage of the availability on the market of cost-effective small form factor(SFF)electronic components and systems decreasing,brings the essential components of processing,storage,and networking closer to the sources that generate the data.The typical use case is that of Internet of Things(IoT)devices and implementations,which often face latency problems,lack of bandwidth,reliability,which cannot be addressed through the conventional cloud model.In this context,the edge computing architecture can reduce the size of data to be sent to the cloud,processing critical data,sensitive to latency,at the point of origin,via a smart device,or sending it to an intermediate server,located nearby.The aim of this paper is to report some of the main aspects and significant features of edge computing and analyzing several popular case studies. | Fabio Arena Giovanni Pau | 2020 | China Communications2020，17，10： | 3 |
| 2 | Differential game-based analysis of multi-attacker multi-defender interaction显示文摘Due to the increasing number of wireless terminals and progressively extensive interconnections among them, interaction between the attack group and defense group is becoming a dominant security manifestation in future wireless networks. This paper focuses on the modeling and analysis of multi-attacker to multi-defender interaction. First, considering the continuous interaction between the attack group and defense group in real-time, a differential game-based multi-attacker to multi-defender interaction model is explicated with paralysis threshold introduced to reduce the ping-pong effect in paralysis. Optimal control theory is then introduced to obtain the equilibrium strategy with Hamilton best control method and a proposed optimal strategy selection algorithm for multi-attacker to multi-defender interaction. Finally, simulations are provided to demonstrate the evolutionary trajectory of optimal attack and defensive strategies and the relationship between the paralysis threshold and the group strength evolution results. Numerical results show the attackers and defenders are aggressive to strengthen their groups initially and then gradually decrease their strength to obtain ideal cost-effectiveness ratios. Moreover, increasing the defense paralysis threshold within a certain range will be more conducive to improving the defense effectiveness. | Qiuyue GAO Huici WU Yunfei ZHANG Xiaofeng TAO | 2021 | Science China(Information Sciences)2021，64，12： | 1 |
| 3 | Deeply Understanding Graph-Based Sybil Detection Techniques via Empirical Analysis on Graph Processing显示文摘Sybil attacks are one of the most prominent security problems of trust mechanisms in a distributed network with a large number of highly dynamic and heterogeneous devices,which expose serious threat to edge computing based distributed systems.Graphbased Sybil detection approaches extract social structures from target distributed systems,refine the graph via preprocessing methods and capture Sybil nodes based on the specific properties of the refined graph structure.Graph preprocessing is a critical component in such Sybil detection methods,and intuitively,the processing methods will affect the detection performance.Thoroughly understanding the dependency on the graph-processing methods is very important to develop and deploy Sybil detection approaches.In this paper,we design experiments and conduct systematic analysis on graph-based Sybil detection with respect to different graph preprocessing methods on selected network environments.The experiment results disclose the sensitivity caused by different graph transformations on accuracy and robustness of Sybil detection methods. | Jian Mao Xiang Li Qixiao Lin Zhenyu Guan | 2020 | China Communications2020，17，10： | 0 |
| 4 | 网络博弈在智能电网供需互动策略问题中的应用显示文摘博弈理论应用于智能电网需求响应方案设计中,可以控制消费者耗电量,使电力市场中能源配置更加合理。文章给出零售商的收益函数和消费者的效用函数,并在零售商之间建立合作博弈模型、在零售商联盟与消费者之间建立Stackelberg博弈模型,分析了零售商与消费者之间的交易互动。当Stackelberg博弈达到均衡时各消费者的电力需求可以得到满足且零售商联盟实现收益最大化,同时零售商联盟的收益将依据Shapley值法进行分配。数值仿真结果表明,采用博弈均衡策略时耗电量曲线明显平缓,达到有效降低峰谷比的效果。 | 周展 曹进德 | 2023 | 南通大学学报(自然科学版)2023，22，2： | 0 |
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