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Influence of slave clock frequency drift on hanwave-in-the-loop network testing system
SUN Leigang, ZHANG Mingqing, KONG Hongshan, LIU Xiaohu
Journal of Computer Applications    2015, 35 (3): 624-628.   DOI: 10.11772/j.issn.1001-9081.2015.03.624
Abstract523)      PDF (851KB)(399)       Save

For the difficulties of achieving accurate clock synchronization in hanwave-in-the-loop network simulation testing using Precise Time Protocol (PTP), the performance of the simulation system of PTP in the face of slave clock frequency drift was studied. The system model and clock model of PTP under hanwave-in-the-loop network environment were established, the time delay estimation error for the master clock estimated by Slaven in unidirectional transmission line was analytically derived. It turned out that each drifting slave led to an additive error of identical structure, these error terms got added both in the drifting slave and its successor, and were then percolated down the line together with the previous accumulated error. Based on this, various network simulation scenarios were designed for verification, analysis and testing. The simulation results show that if only one slave clock drifts, the error at the end of the line is slight; but when all the slave clocks drift, synchronization error is more than 10 times larger, and the same relationship holds for the master versus all slaves drifting, which makes a serious impact on the system synchronization accuracy. The research provides an important reference for the clock deployment strategy in hanwave-in-the-loop network simulation.

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Distributed intrusion detection model based on artificial immune
CHENG Jian ZHANG Mingqing LIU Xiaohu FAN Tao
Journal of Computer Applications    2014, 34 (1): 86-89.   DOI: 10.11772/j.issn.1001-9081.2014.01.0086
Abstract555)      PDF (727KB)(449)       Save
Concerning the problem of excessive interaction flow, single point failure and low detection efficiency in existing Distributed Intrusion Detection System (DIDS), a new distributed intrusion detection model based on artificial immune theory was proposed. The new distributed intrusion detection model presented a central detector configuration and method of use and combined misuse detection and anomaly detection. The simulation model was designed based on OMNeT+〖KG-*3〗+ network simulation platform and experiments were run. According to the simulation results, the model overcomes excessive interaction flow problem of the fully distributed system, solves the problem of single point failure and improves the detection efficiency effectively. The simulation results verify the validity and effectiveness of the improved model.
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Subjective trust metric based on weighted multi-attribute cloud
FAN Tao ZHANG Mingqing LIU Xiaohu CHENG Jian
Journal of Computer Applications    2013, 33 (11): 3228-3231.  
Abstract563)      PDF (737KB)(365)       Save
The existing trust metrics based on the cloud model lack of the multi-granularity and timeliness consideration. For this reason, a trust metric algorithm based on weighted multi-attribute cloud was proposed. First of all, multi-attribute trust cloud on trust metric was used to refine the grain size, and time decay function was introduced in the entity trust computing; second, multi-attribute comprehensive and multi-path merge was used to get entity ultimate trust cloud. Finally, the trust level of the entity was obtained by comparison with basis trust cloud using cloud similarity comparison algorithm. The simulation results under grid computing environment show that when the node interaction reached 100 times, the interaction success rate of weighted multi-attribute cloud metric was 80%, significantly higher than 65% of the traditional method. The simulation results show that the cloud using the weighted multi-attribute trust cloud metric measurement method can improve the accuracy of trust metric.
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