Addressing the issues of high redundancy,poor targeting,and low efficiency in the fuzzy testing process of application-layer network protocols,NetFuzz,a novel multi-objective fuzzy testing tool based on a classificati...Addressing the issues of high redundancy,poor targeting,and low efficiency in the fuzzy testing process of application-layer network protocols,NetFuzz,a novel multi-objective fuzzy testing tool based on a classification tree was introduced in this paper. NetFuzz utilizes a four-tiered classification tree protocol description method for application-layer network protocols,encompassing the protocol under test,its functions,specific commands,parameters,and variant markers. A multi-objective optimization model is designed to enhance the coverage,validity,and diversity of test cases,with a genetic algorithm employed to generate these cases. The tool is evaluated by testing file transfer protocol( FTP) and hypertext transfer protocol( HTTP) servers with known vulnerabilities,comparing its performance against the Peach fuzzing tool. NetFuzz can effectively detect security vulnerabilities that Peach Fuzzer tool failed to identify. While ensuring the detection of vulnerabilities,the testing time is reduced by approximately 58%,and the number of valid test cases increases by 47. 67%.展开更多
The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large...The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large multi-parameter environmental simulation cabin are diffcult to be controlled quickly and accurately with a classical PID algorithm.Considering the dynamic state characteristics of the environmental simulation test chamber,a lumped parameter model of the control system is established to accurately control the multiple parameters of the environmental chamber and a fuzzy control algorithm combined with expert-PID decision is introduced into the temperature,pressure,and rotation speed control systems.Both simulations and experimental results have shown that compared with classical PID control,this fuzzy-expert control method can decrease overshoot as well as enhance the capacity of anti-dynamic disturbance with robustness.It can also resolve the contradiction between rapidity and small overshoot,and is suitable for application in a large multi-parameter environmental simulation cabin control system.展开更多
文摘Addressing the issues of high redundancy,poor targeting,and low efficiency in the fuzzy testing process of application-layer network protocols,NetFuzz,a novel multi-objective fuzzy testing tool based on a classification tree was introduced in this paper. NetFuzz utilizes a four-tiered classification tree protocol description method for application-layer network protocols,encompassing the protocol under test,its functions,specific commands,parameters,and variant markers. A multi-objective optimization model is designed to enhance the coverage,validity,and diversity of test cases,with a genetic algorithm employed to generate these cases. The tool is evaluated by testing file transfer protocol( FTP) and hypertext transfer protocol( HTTP) servers with known vulnerabilities,comparing its performance against the Peach fuzzing tool. NetFuzz can effectively detect security vulnerabilities that Peach Fuzzer tool failed to identify. While ensuring the detection of vulnerabilities,the testing time is reduced by approximately 58%,and the number of valid test cases increases by 47. 67%.
基金supported by the Aeronautical Science Foundation of China(No.2012ZD51043)‘‘Fanzhou’’ Youth Scientifc Funds(No.20100504)
文摘The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large multi-parameter environmental simulation cabin are diffcult to be controlled quickly and accurately with a classical PID algorithm.Considering the dynamic state characteristics of the environmental simulation test chamber,a lumped parameter model of the control system is established to accurately control the multiple parameters of the environmental chamber and a fuzzy control algorithm combined with expert-PID decision is introduced into the temperature,pressure,and rotation speed control systems.Both simulations and experimental results have shown that compared with classical PID control,this fuzzy-expert control method can decrease overshoot as well as enhance the capacity of anti-dynamic disturbance with robustness.It can also resolve the contradiction between rapidity and small overshoot,and is suitable for application in a large multi-parameter environmental simulation cabin control system.
