Worm and worm gear are modeled under development environment in AutoCAD based on the principle of ordinary cylindrical worm drive. The drawing commands available in AutoCAD are used to develop worm blank and cutter mo...Worm and worm gear are modeled under development environment in AutoCAD based on the principle of ordinary cylindrical worm drive. The drawing commands available in AutoCAD are used to develop worm blank and cutter models. The solid models of worm and worm gear are obtained through the use of the commands, move, rotate and subtract, to simulate the generating cutting movement on the gear cutting machine. Autolisp language is utilized in programming for parametric modeling of worm and worm gear. The developed program can automatically draw worm and worm gear when users load the wlwg program, input the modulus and the number of threads, handedness, and other parameters. The operation is simple and accurate, providing potentials to speed up product design process and improve efficiency.展开更多
根据建立CDC(center for disease control)的思想,设计了基于CDC的良性蠕虫的部署以及响应机制.并且对于基于CDC的良性蠕虫对抗蠕虫的过程进行了数学建模.最后,对该模型进行了仿真试验.通过仿真结果,总结了影响CDC良性蠕虫对抗蠕虫传播...根据建立CDC(center for disease control)的思想,设计了基于CDC的良性蠕虫的部署以及响应机制.并且对于基于CDC的良性蠕虫对抗蠕虫的过程进行了数学建模.最后,对该模型进行了仿真试验.通过仿真结果,总结了影响CDC良性蠕虫对抗蠕虫传播的两个因素:响应时间和探针的蠕虫检测率.基于CDC的良性蠕虫的传播模型可以使得人们更好地理解以及预测良性蠕虫对抗蠕虫的速度以及规模.展开更多
It is universally acknowledged by network security experts that proactive peer-to-peer (P2P) worms may soon en-gender serious threats to the Internet infrastructures. These latent threats stimulate activities of model...It is universally acknowledged by network security experts that proactive peer-to-peer (P2P) worms may soon en-gender serious threats to the Internet infrastructures. These latent threats stimulate activities of modeling and analysis of the proactive P2P worm propagation. Based on the classical two-factor model,in this paper,we propose a novel proactive worm propagation model in unstructured P2P networks (called the four-factor model) by considering four factors:(1) network topology,(2) countermeasures taken by Internet service providers (ISPs) and users,(3) configuration diversity of nodes in the P2P network,and (4) attack and defense strategies. Simulations and experiments show that proactive P2P worms can be slowed down by two ways:improvement of the configuration diversity of the P2P network and using powerful rules to reinforce the most connected nodes from being compromised. The four-factor model provides a better description and prediction of the proactive P2P worm propagation.展开更多
文摘Worm and worm gear are modeled under development environment in AutoCAD based on the principle of ordinary cylindrical worm drive. The drawing commands available in AutoCAD are used to develop worm blank and cutter models. The solid models of worm and worm gear are obtained through the use of the commands, move, rotate and subtract, to simulate the generating cutting movement on the gear cutting machine. Autolisp language is utilized in programming for parametric modeling of worm and worm gear. The developed program can automatically draw worm and worm gear when users load the wlwg program, input the modulus and the number of threads, handedness, and other parameters. The operation is simple and accurate, providing potentials to speed up product design process and improve efficiency.
文摘根据建立CDC(center for disease control)的思想,设计了基于CDC的良性蠕虫的部署以及响应机制.并且对于基于CDC的良性蠕虫对抗蠕虫的过程进行了数学建模.最后,对该模型进行了仿真试验.通过仿真结果,总结了影响CDC良性蠕虫对抗蠕虫传播的两个因素:响应时间和探针的蠕虫检测率.基于CDC的良性蠕虫的传播模型可以使得人们更好地理解以及预测良性蠕虫对抗蠕虫的速度以及规模.
基金Project (No. 09511501600) partially supported by the Science and Technology Commission of Shanghai Municipality, China
文摘It is universally acknowledged by network security experts that proactive peer-to-peer (P2P) worms may soon en-gender serious threats to the Internet infrastructures. These latent threats stimulate activities of modeling and analysis of the proactive P2P worm propagation. Based on the classical two-factor model,in this paper,we propose a novel proactive worm propagation model in unstructured P2P networks (called the four-factor model) by considering four factors:(1) network topology,(2) countermeasures taken by Internet service providers (ISPs) and users,(3) configuration diversity of nodes in the P2P network,and (4) attack and defense strategies. Simulations and experiments show that proactive P2P worms can be slowed down by two ways:improvement of the configuration diversity of the P2P network and using powerful rules to reinforce the most connected nodes from being compromised. The four-factor model provides a better description and prediction of the proactive P2P worm propagation.
