Fuzzy Rules Based Solution for System Administration Security Management via a Blockchain

The subject of research-theoretical concepts of economic security managementof universities. The purpose of the article. The study of the essence of the economicsecurity management system of the university and the definition of its main tasks,the formulation of principles of economic security management of the university.Methodology. The dialectical method, methods of analysis and synthesis, methodsof structural-logical and semantic analysis were used to study and summarizescientific papers on the research topic. The results of the work. The essence of theuniversity’s economic security management system has been reviewed. The maintasks of the control system have been identified. A definition of the university’seconomic security system has been proposed. Principles of management of economicsecurity of the university have been formulated. These are: scientific andorganizational and social principles. Conclusions. The proposed principles allow totake into account the economic role and social mission of universities in managingeconomic security.

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Understanding of security management and enhancement for potential terror targets according to Terrorism Prevention Act

Gachon Law Review ◽

10.15335/glr.2017.10.2.005 ◽

2017 ◽

Vol 10 (2) ◽

pp. 137-164

Author(s):

Min Woo Yun ◽

Keyword(s):

Security Management ◽

Prevention Act ◽

Terrorism Prevention

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Performance Comparison of MANET, VANET and FANET

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.692 ◽

2018 ◽

Vol 8 (5) ◽

pp. 132

Author(s):

Aarti Sahu ◽

Laxmi Shrivastava

Keyword(s):

Fuzzy Logic ◽

Wireless Network ◽

Packet Loss ◽

Ad Hoc Network ◽

Fuzzy Logic Controller ◽

Ad Hoc ◽

Mobile Ad Hoc Network ◽

Performance Comparison ◽

Fuzzy Rules ◽

Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

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