A Security Risk Evaluation Model for Mashup Application

2009 ◽  
Author(s):  
Chen Yanchun ◽  
Wang Xingpeng
Keyword(s):  
Risk Evaluation ◽  
Evaluation Model ◽  
Security Risk ◽  
Risk Evaluation Model

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.

Research on Risk Assessment of Vessel-Bridge Collision Accident in Inland Waterway

2012 ◽  
Vol 256-259 ◽  
pp. 2790-2793 ◽  
Author(s):  
Dan Zhang ◽  
Xiang Rui Yang ◽  
Xiao Biao Fan
Keyword(s):  
Risk Evaluation ◽  
Evaluation Model ◽  
Risk Level ◽  
Accident Risk ◽  
Security Risk ◽  
Analytic Hierarchy ◽  
Model Based ◽  
Bridge Type ◽  
Hierarchy Process ◽  
Risk Evaluation Model

The Ship-Bridge collision accident risk evaluation model based on the analytic hierarchy process (AHP) was established and the weights of factors were confirmed. Qualitative and quantitative assessments of the Vessel-Bridge collision accident risk level were accomplished. The application results show that the possibility of Ship-Bridge collision accident could be evaluated by the security risk evaluation model based on the AHP. It can provide decision-making suggestions for the sitting of the new bridge and optimal evaluation for bridge type scheme.

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