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Development of a drtqPCR Assay for Differentiation of PCV-2a and 2b in Shanghai Area
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作者 Jian Liu Feifei Ge +5 位作者 Houbing Ju dequan yang Xin Li Jian Wang Peihong Liu Jinping Zhou 《Open Journal of Veterinary Medicine》 2014年第12期286-293,共8页
A dual real-time quantitative polymerase chain reaction assay (drtqPCR) was established to detect and differentiate between Porcine circovirus-2a (PCV-2a) and Porcine circovirus-2b (PCV-2b). Genotype-specific primer s... A dual real-time quantitative polymerase chain reaction assay (drtqPCR) was established to detect and differentiate between Porcine circovirus-2a (PCV-2a) and Porcine circovirus-2b (PCV-2b). Genotype-specific primer sets and probes were designed by using sequence data published for different PCV-2 strains. Specificity and sensitivity of the drtqPCR were examined by using PCV-2 isolates with known genotype. Among 367 tissue samples, 44.69% (164/367) were PCV-2 positive. From 164 PCV-2 positive samples, 10.98% (18/164), 92.56% (137/164), and 3.31% (9/164) were positive for PCV-2a, PCV-2b, and both genotypes, respectively. These results suggest that the dif-ferential drtqPCR can be used to detect PCV-2 and to differentiate the 2 genotypes from field sam-ples. The PCV-2 infection is quite common in swine of Shanghai area. Furthermore, the PCV-2b infective ratio is far higher than PCV-2a, and PCV-2a/2b mixed infections are also observed but at a lower prevalence in Shanghai area. 展开更多
关键词 GENOTYPE DIFFERENTIATION drtqPCR PCV-2
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A Machine Learning-Based Botnet Malicious Domain Detection Technique for New Business
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作者 Aohan Mei Zekun Chen +1 位作者 Jing Zhao dequan yang 《国际计算机前沿大会会议论文集》 EI 2023年第2期191-201,共11页
In the new network business,the danger of botnets should not be underestimated.Botnets often generatemalicious domain names through DGAs to enable communication with command and control servers(C&C)and then receiv... In the new network business,the danger of botnets should not be underestimated.Botnets often generatemalicious domain names through DGAs to enable communication with command and control servers(C&C)and then receive commands from the botmaster,carrying out further attack activities.Therefore,a system based onmachine learning to dichotomizeDNSdomain access is designed,which can instantly detectDGAdomain names and thus quickly dispose of infected computers to avoid spreading the virus and further damage.In the comparison,the bidirectional LSTM model slightly outperformed the unidirectional LSTM network and achieved 99%accuracy in the open dataset classification task. 展开更多
关键词 BOTNET Machine Learning LSTM Domain Generation Algorithm Detection
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Research on the Design and Education of Serious Network Security Games
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作者 Keyong Wang Pei Wang +1 位作者 Yuanheng Zhang dequan yang 《国际计算机前沿大会会议论文集》 2022年第2期78-91,共14页
Through the correct teaching and game design,not only can innovation be carried out,but the highly effective network security teaching and the training solution countermeasure can also develop the student’s correct s... Through the correct teaching and game design,not only can innovation be carried out,but the highly effective network security teaching and the training solution countermeasure can also develop the student’s correct social behavior and value idea.Furthermore,through rule design and role play,students can improve the overall level of network security awareness and enhance their sense of cooperation during their studies.This paper defines the concept of a serious game and its significance to the network security curriculum of schools and designs the corresponding card game according to the feature of network security.The purpose of this paper is to strengthen overall network security awareness,cultivate professional skills,and enhance network security. 展开更多
关键词 Serious game Network security Teaching technique
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