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| 1 | Task-based behavior detection of illegal codes显示文摘 | Han Lansheng Fu Cai Zou Deqing | 2012 | Mathematical and Computer Modelling2012，55，1： | 1 |
| 2 | Task-based be havior detection of illegal codes显示文摘 | HAN Lansheng FU Cai ZOU Deqing | 2012 | Mathematical and Com- puter Modelling2012，55，1： | 1 |
| 3 | A Hierarchical Virus Immunization Method for Community Networks显示文摘Due to the enormous harm of virus propagation,research regarding virus immunizations still absolutely necessary.In comparison to current researches,a new virus immunization method the hierarchical virus immunization method(HVIM) for community networks is proposed.Based on the virus transmission dynamic model SusceptibleInfectious-Removed and SusceptibleRemoved(SIRSR),HVIM considered the influence of external factors on the spread of viruses and only needs a portion of the network structure to be able to carry out immunization.Another pro for HVIM is that it is scalable and suitable for parallel computing which is a requirement in the big data era.Finally,a simulation dataset and a real dataset were used to run experiments,and the results of simulation showed that HVIM obviously is superior to others on the aspect of immunity. | FU Cai LI Min ZHANG Yunhe ZOU Deqing HAN Lansheng | 2014 | China Communications2014，11，9： | 1 |
| 4 | System Recovery-Aware Virus Propagation Model and Its Steady-State Analysis显示文摘Network structures and human behaviors are considered as two important factors in virus defense currently. However, due to ignorance of network security, normal users usually take simple activities, such as reinstalling computer system, or using the computer recovery system to clear virus. How system recovery influences virus spreading is not taken into consideration currently. In this paper, a new virus propagation model considering the system recovery is proposed first, and then in its steady-state analysis, the virus propagation steady time and steady states are deduced. Experiment results show that models considering system recovery can effectively restrain virus propagation. Furthermore, algorithm with system recovery in BA scale-free network is proposed. Simulation result turns out that target immunization strategy with system recovery works better than traditional ones in BA network. | Lin Sun Cai Fu Ming Fu Deliang Xu Lansheng Han Deqing Zou | 2016 | China Communications2016，13，5： | 1 |
| 5 | Malicious Code Detection Model Based on Behavior Association显示文摘Malicious applications can be introduced to attack users and services so as to gain financial rewards,individuals’sensitive information,company and government intellectual property,and to gain remote control of systems.However,traditional methods of malicious code detection,such as signature detection,behavior detection,virtual machine detection,and heuristic detection,have various weaknesses which make them unreliable.This paper presents the existing technologies of malicious code detection and a malicious code detection model is proposed based on behavior association.The behavior points of malicious code are first extracted through API monitoring technology and integrated into the behavior;then a relation between behaviors is established according to data dependence.Next,a behavior association model is built up and a discrimination method is put forth using pushdown automation.Finally,the exact malicious code is taken as a sample to carry out an experiment on the behavior’s capture,association,and discrimination,thus proving that the theoretical model is viable. | Lansheng Han Mengxiao Qian Xingbo Xu Cai Fu Hamza Kwisaba | 2014 | Tsinghua Science and Technology2014，19，5： | 0 |
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