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1.
PLoS One ; 17(10): e0271546, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36206264

RESUMO

To improve the cybersecurity of Cloud Computing (CC) system. This paper proposes a Network Anomaly Detection (NAD) model based on the Fuzzy-C-Means (FCM) clustering algorithm. Secondly, the Cybersecurity Assessment Model (CAM) based on Grey Relational Grade (GRG) is creatively constructed. Finally, combined with Rivest Shamir Adleman (RSA) algorithm, this work proposes a CC network-oriented data encryption technology, selects different data sets for different models, and tests each model through design experiments. The results show that the average Correct Detection Rate (CDR) of the NAD model for different types of abnormal data is 93.33%. The average False Positive Rate (FPR) and the average Unreported Rate (UR) are 6.65% and 16.27%, respectively. Thus, the NAD model can ensure a high detection accuracy in the case of sufficient data. Meanwhile, the cybersecurity situation prediction by the CAM is in good agreement with the actual situation. The error between the average value of cybersecurity situation prediction and the actual value is only 0.82%, and the prediction accuracy is high. The RSA algorithm can control the average encryption time for very large text, about 12s. The decryption time is slightly longer but within a reasonable range. For different-size text, the encryption time is maintained within 0.5s. This work aims to provide important technical support for anomaly detection, overall security situation analysis, and data transmission security protection of CC systems to improve their cybersecurity.


Assuntos
Computação em Nuvem , NAD , Algoritmos , Segurança Computacional , Computadores , Internet
2.
Sheng Wu Gong Cheng Xue Bao ; 38(1): 275-286, 2022 Jan 25.
Artigo em Chinês | MEDLINE | ID: mdl-35142137

RESUMO

This study aims to investigate the molecular mechanism of the transcription factor MYB10, which is involved in anthocyanin biosynthesis, in different colors of Ribes L. fruitification. Rapid amplification of cDNA ends (RACE) was used to clone the MYB10 genes from Ribes nigrum L. (RnMYB10), Ribes rubrum L. (RrMYB10), and Ribes album L. (RaMYB10), respectively. Phylogenetic analysis showed that RnMYB10 and RrMYB10 were evolutionarily homologous. Real-time quantitative PCR (RT-qPCR) showed that the expression of MYB10 in the fruits of Ribes nigrum L. was higher than that of Ribes rubrum L. and much higher than that of Ribes album L. The expression of RnMYB10 and RrMYB10 increased at first and then decreased as the fruit diameter increased and the fruit color deepened (the maximum expression level was reached at 75% of the fruit color change), while the expression level of RaMYB10 was very low. Overexpression of RnMYB10 and RrMYB10 in Arabidopsis thaliana resulted in purple petioles and leaves, whereas overexpression of RaMYB10 resulted in no significant color changes. This indicates that MYB10 gene plays an important role in the coloration of Ribes L. fruit.


Assuntos
Ribes , Antocianinas , Clonagem Molecular , Frutas , Regulação da Expressão Gênica de Plantas , Filogenia , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Ribes/genética
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