scholarly journals A Fuzzy Model for Knowledge Base IoT Information Security Evaluation

2019 ◽  
Vol 5 (1) ◽  
pp. 20
Author(s):  
Flávio Luis de Mello
Keyword(s):  
Evaluation Method ◽  
Fuzzy Model ◽  
Security Evaluation ◽  
Fuzzy Evaluation ◽  
User Perspective ◽  
Information Technology Security ◽  
Integrated Devices ◽  
Device Manufacturer ◽  
Security Standards ◽  
Novel Model

Internet of Things (IoT) accelerating growth exposes many unsecured issues related to the design and the usage of network integrated devices. This paper presents a fuzzy evaluation method, based on both IOT hardware/software developers’ and users’ knowledge, creating an novel model to aid correctness actions over security procedures, in order to increase the IOT safeness usage. This method combines both the developer’s and user’s perspectives, creating an integrated adaptive evaluation attached to the Information Technology security standards and best practices guidelines. The proposed evaluation method is divided by categories, each one composed of security control clauses and their corresponding action recommendation. The user perspective of such evaluation method was applied into a service company, and the developer perspective was defined by an IoT device manufacturer. The obtained results have shown that the evaluation method enhances both the manufacturer security awareness and the IOT users experience in the improvement of security IoT issues.

scholarly journals IoT Information Security Evaluation for Developers and Users

2018 ◽  
Vol 4 (1) ◽  
pp. 16
Author(s):  
Lohana Santos Medeiros ◽  
Fabio Zuvanov ◽  
Flávio Luis de Mello ◽  
Edilberto Strauss
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
User Experience ◽  
Evaluation Method ◽  
Security Evaluation ◽  
User Perspective ◽  
Security Control ◽  
Accelerated Growth ◽  
Iot Devices ◽  
Device Manufacturer

The accelerated growth of Internet of Things (IoT) exposes many unsecured issues related to design and usage of devices leading to a new technological security paradigm. This paper presents an evaluation method and corrective actions to be carried out in order to make the usage of IoT devices safer. This method combines both the developer’s perspective and user’s perspective, thus differing from current guides. The proposed evaluation method is divided by categories, each one composed of security control clauses and their corresponding action recommendation. The user perspective of such evaluation method was applied into a service company, and the developer perspective into an IoT device manufacturer. These experiments produced useful perceptions on such view points. The evaluation provided an opportunity to enhance manufacturer security awareness and improve user experience with IoT devices.

Entropy Weight Multi-Level Fuzzy Comprehensive Evaluation in Power Plant Security Based on Reliability Identification

2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li
Keyword(s):  
Power Plant ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Security Evaluation ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Multi Level

In the paper, we establish an evaluation system in the study of four aspects such as people, regulation, equipment and technology management, field management and engineering construction. We present an entropy weight multi-level fuzzy comprehensive evaluation model in power plant security on the basis of reliability identification. Firstly, it identifies the reliability of power plant security evaluation system. Secondly, it can meet the condition that the system is reliable. Then it obtains the indicator weight of all levels in the evaluation system by the entropy weight method. Finally, it carries out a comprehensive evaluation in power plant security by the multi-level fuzzy evaluation method.

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.

A Practical Conflicting Role-based Cloud Security Risk Evaluation Method

2019 ◽  
Vol 13 ◽  
Author(s):  
Jin Han ◽  
Jing Zhan ◽  
Xiaoqing Xia ◽  
Xue Fan
Keyword(s):  
Risk Evaluation ◽  
Evaluation Method ◽  
Service Providers ◽  
Risk Preferences ◽  
Cloud Service ◽  
Cloud Security ◽  
Third Party ◽  
Security Evaluation ◽  
Security Risk ◽  
Cloud Users

Background: Currently, Cloud Service Provider (CSP) or third party usually proposes principles and methods for cloud security risk evaluation, while cloud users have no choice but accept them. However, since cloud users and cloud service providers have conflicts of interests, cloud users may not trust the results of security evaluation performed by the CSP. Also, different cloud users may have different security risk preferences, which makes it difficult for third party to consider all users' needs during evaluation. In addition, current security evaluation indexes for cloud are too impractical to test (e.g., indexes like interoperability, transparency, portability are not easy to be evaluated). Methods: To solve the above problems, this paper proposes a practical cloud security risk evaluation method of decision-making based on conflicting roles by using the Analytic Hierarchy Process (AHP) with Aggregation of Individual priorities (AIP). Results: Not only can our method bring forward a new index system based on risk source for cloud security and corresponding practical testing methods, but also can obtain the evaluation result with the risk preferences of conflicting roles, namely CSP and cloud users, which can lay a foundation for improving mutual trusts between the CSP and cloud users. The experiments show that the method can effectively assess the security risk of cloud platforms and in the case where the number of clouds increased by 100% and 200%, the evaluation time using our methodology increased by only by 12% and 30%. Conclusion: Our method can achieve consistent decision based on conflicting roles, high scalability and practicability for cloud security risk evaluation.

Research and Evaluation of Bionics Shape Design Based on Cases

2014 ◽  
Vol 551 ◽  
pp. 621-625
Author(s):  
Nan Chu Guo
Keyword(s):  
Genetic Algorithm ◽  
Quantitative Methods ◽  
Evaluation Method ◽  
Evaluation Methods ◽  
Shape Design ◽  
Fuzzy Evaluation ◽  
Ideal Approach ◽  
Comprehensive Fuzzy Evaluation

The paper proposes an ideal approach of shape design by using shape evaluation methods accurately. The paper proposes and tests the comprehensive fuzzy evaluation method using a case of two clips based on genetic algorithm and quantitative methods. By using this evaluation method, the shape details of a product could be improved gradually.

scholarly journals THE PROBLEMS AND COUNTERMEASURES OF BRINGING COLLEGE SPORTS RESOURCES INTO THE PUBLIC SERVICE SYSTEM OF NATIONAL FITNESS IN THE NEW ERA

2021 ◽  
Vol 27 (spe) ◽  
pp. 94-96
Author(s):  
Zhonglin Ma
Keyword(s):  
Public Service ◽  
Evaluation Method ◽  
Service System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
New Era ◽  
The Public ◽  
Comprehensive Evaluation Method

ABSTRACT With the deepening of the national health program, the number of people participating in sports activities is increasing, and the problem of insufficient community sports resources is becoming more and more obvious. It is an effective way of solving the problem of injecting sports resources into the public service system of national fitness, but the process of integration of sports resources and public national fitness service is not smooth. Through expert consultation and a fuzzy comprehensive evaluation method, this study analyzed the current situation of university sports resources into the public service system of national fitness, and collected the evaluation of social fitness personnel on the opening of university resources by means of a questionnaire combined with experts' opinions, using a fuzzy comprehensive evaluation method to transform subjective and fuzzy evaluation into objective and specific evaluation points. The research shows that the current level of university sports resources into the public service system of national fitness is low, which shows that the sports resources sharing policy under the national fitness has not been well implemented. The study proposes that the level of sharing of sports resources can be strengthened by the awareness of sharing of sports resources by university leaders and improving the management system. This study is expected to represent a reference for the university sports resources into the public service system of national fitness in the new era.

scholarly journals ANALYSIS OF THE EFFECTIVENESS OF TECHNOLOGICAL INNOVATIONS BY FUZZY MODELING METHODS: THE CONTENT OF THE MODEL AND THE CONDITIONS FOR SOFTWARE IMPLEMENTATION

2019 ◽  
Vol 29 (5) ◽  
pp. 609-620
Author(s):  
O.M. Shatalova
Keyword(s):  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Technological Development ◽  
Innovation Management ◽  
Fuzzy Model ◽  
Software Implementation ◽  
Technological Innovations ◽  
Fuzzy Evaluation ◽  
Innovative Strategy ◽  
Intelligent Methods

The article is devoted to the development of methods and instruments for solving the problem of non-stochastic uncertainty in the management of technological innovations. In this regard, the methodology of fuzzy-multiple modeling of systems is considered. It allows you to take into account both deterministic and stochastic data, as well as mental knowledge of the system on the part of decision makers, presented in the lexical description and based on fuzzy evaluation mechanism. The construction of fuzzy-multiple models is aimed at reproducing the logic of decision making and is based on the use of intelligent methods of information processing, including those presented in fuzzy and verbal characteristics, by mathematical language means, which can be transferred to machine processing. The basis of the study is the provision on the vector form of the efficiency indicator and the implementation of the correspondence function between the basic parameters of efficiency through fuzzy inference. The article describes the developed basic conditions for simulation of fuzzy-multiple modeling in assessing the effectiveness of technological innovation management systems - the structure of the model and methods for its construction; presents the means of software implementation of a simulation fuzzy-plural model developed in accordance with these conditions and the results of its practical testing. The developed conditions of fuzzy-multiple modeling in assessing the effectiveness of technological innovations form the basis of a comprehensive analysis of the conditions of technological development of the enterprise, allow to identify significant management factors and form the content of an effective innovative strategy for the technological development of the enterprise; the fuzzy model itself can be considered as a platform for the integration of deterministic, stochastic, expert knowledge of the system.

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