Danger Theory Based Risk Evaluation Model for Smurf Attacks

2011 ◽  
Vol 467-469 ◽  
pp. 515-521
Author(s):  
Fei Xian Sun
Keyword(s):  
Risk Evaluation ◽  
Computer Network ◽  
Evaluation Model ◽  
Denial Of Service ◽  
Immune Recognition ◽  
Security Risk ◽  
Danger Signal ◽  
Danger Theory ◽  
Security Risk Assessment ◽  
Risk Evaluation Model

Smurf attack belongs to popular Denial-of-Service (DoS) attack, and they can cause devastating impact on computer systems. Inspired by the principles of immune danger theory, a novel risk evaluation model, referred to as DTRESA, for smurf attacks is proposed in this paper. Within the presented model, dangerous smurf attacks are compared to bacterium (or virus) of the immune danger theory, which induce danger signal by simulating cellular distress or cell unnatural death; through immune recognition of artificial lymphocytes, the attacks are detected, and the attack risk is evaluated by calculating the danger signal of host computers. Simulation results and theoretical analysis show that the proposed model is feasible. Thus, it provides a novel solution to DoS detection and computer network security risk assessment.

scholarly journals A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Y. P. Jiang ◽  
C. C. Cao ◽  
X. Mei ◽  
H. Guo
Keyword(s):  
Immune System ◽  
Body Temperature ◽  
Network Security ◽  
Real Time ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Antibody Concentration ◽  
Security Risk ◽  
Network Risk ◽  
Risk Evaluation Model

These days, in allusion to the traditional network security risk evaluation model, which have certain limitations for real-time, accuracy, characterization. This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanism of biological immune system and the imbalance of immune system which can result in body temperature changes, firstly, through ther-contiguous bits nonconstant matching rate algorithm to improve the detection quality of detector and reduce missing rate or false detection rate. Then the dynamic evolution process of the detector was described in detail. And the mechanism of increased antibody concentration, which is made up of activating mature detector and cloning memory detector, is mainly used to assess network risk caused by various species of attacks. Based on these reasons, this paper not only established the equation of antibody concentration increase factor but also put forward the antibody concentration quantitative calculation model. Finally, because the mechanism of antibody concentration change is reasonable and effective, which can effectively reflect the network risk, thus body temperature evaluation model was established in this paper. The simulation results showed that, according to body temperature value, the proposed model has more effective, real time to assess network security risk.

scholarly journals SPIKING SCHOOL ACHIEVEMENT ON NATIONAL STANDARDS THROUGH TEACHER MANAGEMENT INFORMATION SYSTEM AT MUHAMMADIYAH 5 ELEMENTARY SCHOOL

2019 ◽  
Vol 2 (2) ◽  
pp. 285-291
Author(s):  
Ega JANUARDI ◽  
Connie CHAIRUNNISA
Keyword(s):  
Information System ◽  
Elementary School ◽  
Management Information System ◽  
Evaluation Model ◽  
School Achievement ◽  
National Standards ◽  
National Standard ◽  
Good Teacher ◽  
Management Information ◽  
Filing System

This research was conducted to determine the success of the Teacher Management Information System in raising the achievement of the national standard at Muhammadiyah 5 Elementary School-5, Jakarta. It focuses on data collection systems of teachers through Google Drive (GDrive). The researcher used a Goal-Oriented Evaluation Model. The result showed that the program could help school increase the achievement of three out of eight national standards of education, namely the standard of facilities and infrastructure, the standard of management, and the standard of educator and non-educator. The research recommends the program to be continued with improvement. To get maximum results, the principal has to conduct a structured training program followed by establishing a good teacher filing system.  

scholarly journals Building Better Risk Management Information System (RMIS) for Sustainable Bank Management in Vietnam

2021 ◽  
Vol 11 (2) ◽  
pp. 293-301
Author(s):  
Nguyen Ngoc Thach ◽  
Dinh Tran Ngoc Huy ◽  
Nguyen Dinh Trung
Keyword(s):  
Information System ◽  
Risk Management ◽  
Management Information System ◽  
Commercial Banks ◽  
Stock Price ◽  
Risk Evaluation ◽  
Quantitative Methods ◽  
Management Information ◽  
Bank Management ◽  
Lending Rate

Recently the roles of building a risk management information system in commercial banks in Vietnam has been becoming necessary during Covid 19 effects. This study mainly use combination of quantitative methods and qualitative methods including synthesis, inductive and explanatory methods. We analyze rism management and risk evaluation in case of one big listed bank in Vietnam, Navibank (NVB) who became National Citizen Bank later (NCB). We figure out that CPI, lending rate and VNIndex have negative correlation with both beta CAPM and stock price of NVB. And these risk results and models can be delivered to suitable users in a management information system (MIS).

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