A Novel Network Survivability Analysis and Evaluation Model

2013 ◽  
Vol 347-350 ◽  
pp. 2082-2088
Author(s):  
Chun Lei Wang ◽  
Dong Xia Wang ◽  
Qing Miao ◽  
Liang Ming ◽  
Lan Fang ◽  
...  
Keyword(s):  
Network Performance ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Evolutionary Game ◽  
Multiple Criteria Decision Making ◽  
Dynamic Game ◽  
Network Survivability ◽  
Game Model ◽  
Network System ◽  
Analysis And Evaluation

Network survivability has the characteristics of complexity, dynamic evolution and uncertainty, which has become one of the most important factors for analyzing and evaluating network performance. Network survivability analysis and evaluation is a process of analyzing and quantifying the degree to which network system can survive in network threats. This paper proposes a novel network survivability analysis and evaluation model.Firstly, network survivability is abstracted as a dynamic game process among network attacker, network defender and normal user, thereafter network survivability evolutionary game model is established and network survivability analysis algorithm is proposed based on the game model. Secondly, the survivability characteristics of the network can be measured and evaluated based on the analyzed information based on the proposed immune evolutionary algorithm for network survivability metric weight solving and network survivability evaluation method using multiple criteria decision making. Finally, the proposed network survivability analysis and evaluation model is experimented in a typical network environment and the correctness and effectiveness of the model is validated through experimental analysis.

scholarly journals A RESEARCH ON QUALITY EVALUATION METHOD FOR THEMATIC MONITORING RESULTS

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1221-1224
Author(s):  
C. X. Chen ◽  
J. X. Zhang ◽  
H. T. Zhao ◽  
C. Li ◽  
Y. Zhao
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Chinese Government ◽  
Quality Inspection ◽  
The Public ◽  
Analysis And Evaluation ◽  
Disaster Monitoring ◽  
The Government

Abstract. The geographical condition is a very important component of a country's national condition, and geographical conditions monitoring (GCM) has been a great concern to the Chinese government. In accordance with application areas, GCM can be divided into fundamental monitoring, thematic monitoring, and disaster monitoring. Thematic monitoring is a special type of designated subject monitoring that concerns the public or the government. This paper mainly discusses the quality evaluating method of thematic monitoring results (TMRs). Based on analysis, referring to GB/T 24356-2009 “Quality Inspection and Acceptance of Surveying and Mapping Achievements”, TMRs data Including monitoring data results, analysis and evaluation results, map results and monitoring report results. The operability of the quality evaluation model is illustrated by a case study of the quality inspection of urban geographic national condition monitoring.

scholarly journals Competition and Game of the Pre-Installed Market and Post-Installed Market of the Internet of Vehicles from the Perspective of Cooperation

2020 ◽  
Vol 12 (3) ◽  
pp. 996
Author(s):  
Chaohui Zhang ◽  
Yijing Li ◽  
Yishan Zhang
Keyword(s):  
Simulation Analysis ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Service Level ◽  
The Internet ◽  
Game Model ◽  
Evolutionary Trends ◽  
Internet Of Vehicles ◽  
Cooperative Relationships ◽  
Competition State

The Internet of Vehicles market is broadly divided into two parts—the pre-installed market and the post-installed market. Although they possibly have cooperative relationships, there is a competition game between them in terms of interests, and a healthy game relationship can promote the optimization of products and the overall improvement of the service level in the Internet of Vehicles market. Through the evolutionary game model, this article analyzes the dynamic game process between the pre-installed market and the post-installed market of the Internet of Vehicles, explores the various evolution trends of the Internet of Vehicles market from the perspective of cooperation, and combines the numerical simulation analysis to study the three possible evolutionary trends and corresponding steady states. The results show that, when the cooperation ratio is relatively high, both sides of the game are in the cyclical competition and game, which is the optimal competition state of the Internet of Vehicles market. On the contrary, any kind of “steady state” is unfavorable to the overall market. Therefore, all parties should be encouraged to establish a deeper level of cooperation and jointly promote the further prosperity of the Internet of Vehicles market in the process of cooperation and competition.

Explaining Study on Cooperative investment risk of Joint Venture Companies from an Economics of Organization Perspective

2020 ◽  
Vol 14 ◽  
Author(s):  
Hao Dai ◽  
Chaoqi Zhang ◽  
Xiaojing Yang
Keyword(s):  
Venture Capital ◽  
Joint Venture ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Investment Model ◽  
Future Research ◽  
Investment Risk ◽  
Game Model ◽  
Venture Capitalists ◽  
Research Topics

Background: Joint investment has increasingly become a popular investment method for venture capitalists. From the two traditional perspectives of investors and start-ups, research on Joint Venture Capital in the past 40 years has achieved rich results. Most recent literature is based on research from the perspective of organisational economics, which further advances the vertical development of research on Joint Venture Capital. Objective: The objective of this paper is to review research topics and core literature on Joint Venture Capital from the perspective of organisational economics, and through introducing the model of venture capitalists' ‘bounded rationality’ and evolutionary game in the joint investment risk analysis, this paper distinguishes the influence of the game model on the formation of joint investment. Finally, it reaches a conclusion and suggests a direction for future research. Method: This paper finds and reviews literature on joint venture capital and dynamic game model of joint investment risk is collated to reduce the actual risk assumed by each investor. Additionally, the paper summarises research topics and progress from the perspective of organisational economics to identify possible research directions for the future. Results: Based on the evolutionary game method for analysis of the model of joint investment, the following conclusion is drawn: the greater the heterogeneity of the participating entities, the smaller the unit conflict cost benefit and the greater the probability of successful joint venture investment. The joint investment operation mechanism will also be maintained in a long-term and stable manner. Conclusion: From the perspective of organisational economics, the latest research on Joint Venture Capital has extensively absorbed new research results of relevant disciplines. Consequently, Joint Venture Capital activities can be understood from a broader perspective and with new insights, which reflect complex and dynamic interaction and correlative dependence between network members. To establish a more successful joint investment model, the paper introduces a relatively novel evolutionary game method for analysis of the joint investment model.

scholarly journals A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jianhua Liu ◽  
Guangxue Yue ◽  
Shigen Shen ◽  
Huiliang Shang ◽  
Hongjie Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Cooperative Communications ◽  
Network Performance ◽  
Stochastic Game ◽  
Evolutionary Game ◽  
Response Strategy ◽  
Wireless Sensor ◽  
Game Model

The coordinator is a specific node that controls the whole network and has a significant impact on the performance in cooperative multihop ZigBee wireless sensor networks (ZWSNs). However, the malicious node attacks coordinator nodes in an effort to waste the resources and disrupt the operation of the network. Attacking leads to a failure of one round of communication between the source nodes and destination nodes. Coordinator selection is a technique that can considerably defend against attack and reduce the data delivery delay, and increase network performance of cooperative communications. In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. The proposed game model consists of two interrelated formulations: a stochastic game for dynamic defense and a best response policy using evolutionary game formulation for coordinator selection. The stable equilibrium best policy to response defense is obtained from this game model. It is shown that the proposed scheme can improve reliability and save energy during the network lifetime with respect to security.

The Analysis and Evaluation Method of Network Performance and the Method Study of Computer Simulation

2014 ◽  
Vol 556-562 ◽  
pp. 5752-5755
Author(s):  
Rong Hua Tan
Keyword(s):  
Computer Simulation ◽  
Analytical Method ◽  
Network Performance ◽  
Evaluation Method ◽  
Computer Network ◽  
Simulation Method ◽  
Simulation Framework ◽  
Main Method ◽  
Analysis And Evaluation ◽  
Latency Jitter

Generally, the methods to evaluate network performance include analytical method, numerical method and simulation method. Nowadays, emulation is the main method to analyse computer network communication system. This paper discusses a general approach to evaluate network performance which includes bandwidth, latency, jitter, throughput and computer simulation method to analyse LAN performance. A network simulation framework is also introduced in this paper.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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