Research On Technology Of Network System Survivability

With the wide application of computer network in all walks of life,network information security is facing great challenges,in the face of the large scale and complexity of the network,and the diversification of network attacks,the invasion is inevitable.Traditional network security technology has been unable to meet the actual needs of the users,people are more concerned about the survivability of the network system,that is,the ability to provide key services for the users after the attack.The research of network system survivability technology mainly includes three aspects: the survivability evaluation,prediction and enhancement technology.Scoring the survivability of network system through comprehensive quantitative assessment of the survivability,and predict the future survival situation.Based on the results of the assessment and prediction,this paper takes timely measures to enhance its survivability and ensure the continuous supply of key services according to analysis of the weakness of the current network system.Therefore,the research work of this paper mainly includes the following three aspects:(1)An evaluation model which based on grey relation analysis and grid closeness degree is proposed.In this model,firstly,the weight of the key services and the performance indexes are given objectively.Then the interval numbers are used to extract the data.Finally,acquire the survivability level of the current network system through evaluating the survivability of key services and network systems which combines the method of grey relation analysis and grid closeness degree.The experimental results show that the model is reasonable and effective,makes the evaluation results more clear and easy to be judge.(2)Because the survivability of the network system is uncertain,the reasonable technical method based on evaluation should be adopted to predict the survival condition of the network system.Take the evaluation results as the sample data,the auto-regressive integrated moving average prediction model is established by the model identification,the order and the parameter estimation.Finally,the model is used to forecast the survival of the future period of time through testing the white noise.The experimental results show that the forecast effect is ideal,which could be used to predict the survival situation accurately and effectively.(3)The purpose of the evaluation and prediction is used to obtain the current and future survival situation of the network system timely,and provide a scientific basis for the implementation of the corresponding enhancement strategy.Therefore,in this paper,we propose a network system survivability enhancement technology based on checkpoint.Firstly,the survivability of the key services is monitored,and save the current status information through setting the checkpoint at normal run.Then we rollback recovery to checkpoint state when the survivability down to a certain threshold value.Finally,the state will continue to run.Which will ensure the continuous supply of key services and prevent the system from entering the failure state,and then enhance the survivability of the key services and network systems.Finally,simulation experiments results show the technology is effective and feasible.