Network security problems bring many imperceptible threats to the integrity of data and the reliability of device services,so proposing a network intrusion detection model with high reliability is of great research si...Network security problems bring many imperceptible threats to the integrity of data and the reliability of device services,so proposing a network intrusion detection model with high reliability is of great research significance for network security.Due to the strong generalization of invalid features during training process,it is more difficult for single autoencoder intrusion detection model to obtain effective results.A network intrusion detection model based on the Ensemble of Denoising Adversarial Autoencoder(EDAAE)was proposed,which had higher accuracy and reliability compared to the traditional anomaly detection model.Using the adversarial learning idea of Adversarial Autoencoder(AAE),the discriminator module was added to the original model,and the encoder part was used as the generator.The distribution of the hidden space of the data generated by the encoder matched with the distribution of the original data.The generalization of the model to the invalid features was also reduced to improve the detection accuracy.At the same time,the denoising autoencoder and integrated operation was introduced to prevent overfitting in the adversarial learning process.Experiments on the CICIDS2018 traffic dataset showed that the proposed intrusion detection model achieves an Accuracy of 95.23%,which out performs traditional self-encoders and other existing intrusion detection models methods in terms of overall performance.展开更多
将权限定义为由访问类型、信息对象、操作范畴和约束条件构成的四元组,并在此基础上建立包含权限编码生成器、权限编码分析器和权限编码库的基于权限四元组的权限控制模型4-TPBAC(4-Tup le Privilege Based Access Con-trol)。介绍了模...将权限定义为由访问类型、信息对象、操作范畴和约束条件构成的四元组,并在此基础上建立包含权限编码生成器、权限编码分析器和权限编码库的基于权限四元组的权限控制模型4-TPBAC(4-Tup le Privilege Based Access Con-trol)。介绍了模型中权限编码生成器和权限编码分析器的工作原理,分析了权限编码分析器中实现页面级权限控制、操作级权限控制和字段级权限控制等控制策略。展开更多
Exosomes and long non-coding RNAs(lncRNAs)are emerging as important elements contributing to a more comprehensive understanding of cancer development and progression.The discovery of lncRNAs in exosomes further indica...Exosomes and long non-coding RNAs(lncRNAs)are emerging as important elements contributing to a more comprehensive understanding of cancer development and progression.The discovery of lncRNAs in exosomes further indicates their bona fide biological functional roles in cancer development and drug resistance.In this review,we describe the biogenesis of exosomes and summarize the function of exosomal lncRNAs in the field of cancer research.These findings strikingly advance current knowledge of exosomal lncRNAs and suggest that they may be promising diagnostic biomarkers and therapeutic targets for cancer.展开更多
RNA can catalyze and participate in many chemical and biochemical reactions. Non-coding RNAs （ncRNA） can regulate cellular transcription and translation reactions. We have demonstrated biochemically that RNA can als...RNA can catalyze and participate in many chemical and biochemical reactions. Non-coding RNAs （ncRNA） can regulate cellular transcription and translation reactions. We have demonstrated biochemically that RNA can also interfere with DNA polymerization via transforming DNA polymerase into deoxyribonucleoside triphosphate diphosphatase （dNTP-DPase）. RNA, even with six nucleotides, can transform DNA polymerase into dNTP-DPase, and the dNTP-DPase activity causes the hydrolysis of dNTPs into dNMPs and pyrophosphate. Moreover, we have found that DNA polymerases from several families generally have similar RNA-dependent dNTP-DPase activity. We have also observed that in the presence of RNA, when the dNTP concentrations are relatively low, and that the dNTP-DPase activity can deplete dNTPs and interfere with DNA polymerization Thus, we have discovered for the first time that in the presence of RNA, DNA polymerase can behave as a diphosphatase and inhibit DNA synthesis when dNTP quantity is low. These in vitro observations might imply a plausible role of RNA in vivo, such as suppressing DNA synthesis during a resting phase （Go） of the cell cycle, when RNA quantity is high and dNTP quantity is low.展开更多
文摘Network security problems bring many imperceptible threats to the integrity of data and the reliability of device services,so proposing a network intrusion detection model with high reliability is of great research significance for network security.Due to the strong generalization of invalid features during training process,it is more difficult for single autoencoder intrusion detection model to obtain effective results.A network intrusion detection model based on the Ensemble of Denoising Adversarial Autoencoder(EDAAE)was proposed,which had higher accuracy and reliability compared to the traditional anomaly detection model.Using the adversarial learning idea of Adversarial Autoencoder(AAE),the discriminator module was added to the original model,and the encoder part was used as the generator.The distribution of the hidden space of the data generated by the encoder matched with the distribution of the original data.The generalization of the model to the invalid features was also reduced to improve the detection accuracy.At the same time,the denoising autoencoder and integrated operation was introduced to prevent overfitting in the adversarial learning process.Experiments on the CICIDS2018 traffic dataset showed that the proposed intrusion detection model achieves an Accuracy of 95.23%,which out performs traditional self-encoders and other existing intrusion detection models methods in terms of overall performance.
文摘将权限定义为由访问类型、信息对象、操作范畴和约束条件构成的四元组,并在此基础上建立包含权限编码生成器、权限编码分析器和权限编码库的基于权限四元组的权限控制模型4-TPBAC(4-Tup le Privilege Based Access Con-trol)。介绍了模型中权限编码生成器和权限编码分析器的工作原理,分析了权限编码分析器中实现页面级权限控制、操作级权限控制和字段级权限控制等控制策略。
基金supported by the National Natural Science Foundation of China(Nos.81672791 and 81872300)the Foundation of the Department of Education of Zhejiang Province,China(No.Y201224954)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(No.LY14H040007)the Zhejiang Provincial Natural Science Fund for Distinguished Young Scholars of China(No.LR18C060002)
文摘Exosomes and long non-coding RNAs(lncRNAs)are emerging as important elements contributing to a more comprehensive understanding of cancer development and progression.The discovery of lncRNAs in exosomes further indicates their bona fide biological functional roles in cancer development and drug resistance.In this review,we describe the biogenesis of exosomes and summarize the function of exosomal lncRNAs in the field of cancer research.These findings strikingly advance current knowledge of exosomal lncRNAs and suggest that they may be promising diagnostic biomarkers and therapeutic targets for cancer.
基金financially supported by the Georgia Cancer Coalition(GCC)Distinguished Cancer Clinicians and Scientists,USA NSF(IIP-1340153)and NIH(R01GM095881)
文摘RNA can catalyze and participate in many chemical and biochemical reactions. Non-coding RNAs （ncRNA） can regulate cellular transcription and translation reactions. We have demonstrated biochemically that RNA can also interfere with DNA polymerization via transforming DNA polymerase into deoxyribonucleoside triphosphate diphosphatase （dNTP-DPase）. RNA, even with six nucleotides, can transform DNA polymerase into dNTP-DPase, and the dNTP-DPase activity causes the hydrolysis of dNTPs into dNMPs and pyrophosphate. Moreover, we have found that DNA polymerases from several families generally have similar RNA-dependent dNTP-DPase activity. We have also observed that in the presence of RNA, when the dNTP concentrations are relatively low, and that the dNTP-DPase activity can deplete dNTPs and interfere with DNA polymerization Thus, we have discovered for the first time that in the presence of RNA, DNA polymerase can behave as a diphosphatase and inhibit DNA synthesis when dNTP quantity is low. These in vitro observations might imply a plausible role of RNA in vivo, such as suppressing DNA synthesis during a resting phase （Go） of the cell cycle, when RNA quantity is high and dNTP quantity is low.
文摘为了解决因设备长期失修造成的数据大量缺失和传统数据修复方法无法表示上下文时空关系以及不规则时序特征的问题,提出一种时空生成对抗变分自编码网络(Spatiotemporal Variational Autoencoder with W-Generative Adversarial Network-GP, SVAE-WGANGP),用以恢复地点车速数据质量。该方法以生成对抗变分自编码网络为模型基本框架,直接学习自然缺失数据集的概率分布;基于改进时空信息单元的变分自编码生成网络提取数据在缺失模式下的隐式不规则时序特征与显式上下文时空相互依赖信息;利用对抗训练策略(Wasserstein GAN with Gradient Penalty, WGAN-GP)优化深度全连接判别网络,以获得最优重构数据。借助乌鲁木齐市某路网46天实际卡口地点车速实例验证模型合理性,结果表明:与其他6个基准模型的评估指标均值相比,PMCR机制下,所提方法的均方根误差(RMSE)和平均绝对误差(MAE)降低幅度分别在0.794~0.332和0.899~0.321,决定系数R^(2)升高幅度在3.175%~60.918%;LMR机制下,所提方法的RMSE和MAE平均降低幅度分别在0.600~0.222和0.773~0.208,R^(2)平均升高幅度在4.681%~91.518%;BMR机制下,所提方法的RMSE和MAE平均降低幅度分别在0.212~0.625和0.269~0.715,R^(2)平均升高幅度在5.309%~49.671%。SVAE-WGANGP在恢复不同缺失机制下的路网地点车速数据质量时具备较优精确性和良好普适性,交通时空信息和不规则时序特征对该模型的数据质量恢复性能具有一定贡献性。此外,在BMR机制下,SVAE-WGANGP的运算耗时均值较VAE-GAN的均值降低0.421 s,与其他5个基准模型相比,增长幅度在0.155~12.518 s。从整体来看,该方法在恢复数据时具有较高的时效性。
