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电脑与电信 2014年第12期 13-14页

作者： palo alto networks palo alto networks

后门程序“CoolReaper”可能影响的安卓手机型号多达24款。

关键词： networks 后门程序 alto 移动设备手机型号可能影响

Access Control Attacks on PLC Vulnerabilities

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Journal of Computer and Communications 2018年第11期6卷 311-325页

作者： Yong Wang Jinyong Liu Can Yang Lin Zhou Shuangfei Li Zhaoyan Xu Department of Information Security Shanghai University of Electric Power Shanghai China palo alto networks California CA USA

In Industrial Control Systems (ICS), security issues are getting more and more attention. The number of hacking attacks per year is endless, and the attacks on industrial control systems are numerous. Programmable Logic Controller (PLC) is one of the main controllers of industrial processes. Since the industrial control system network is isolated from the external network, many people think that PLC is a safety device. However, virus attacks in recent years, such as Stuxnet, have confirmed the erroneousness of this idea. In this paper, we use the vulnerability of Siemens PLC to carry out a series of attacks, such as S7-200, S7-300, S7-400, S7-1200 and so on. We read the data from the PLC output and then rewrite the data and write it to the PLC. We tamper with the writing of data to achieve communication chaos. When we attack the primary station, all slave devices connected to the primary station will be in a state of communication confusion. The attack methods of us can cause delay or even loss of data in the communications from the Phasor Data Concentrator (PMU) to the data concentrator. The most important thing is that our attack method generates small traffic and short attack time, which is difficult to be identified by traditional detection methods.

关键词： ICS PLC PMU Data Tampering Delay Attack Methods

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二维码安全风险不容忽视

网络安全和信息化 2021年第5期 123-124页

作者： palo alto networks palo alto networks

随着二维码的迅速普及,其背后的安全问题也被提上日程,然而这些安全问题时至今日并未得到人们的重视,palo alto networks对此进行了剖析,并给出建议。

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网络空间负责任国家的行为准则

中国信息安全 2018年第9期 36-37页

作者：约翰.戴维斯 palo alto networks

关注联合国信息安全政府专家组(UNGGE)的话题很重要,因为我们一定能够通过努力找到共同点,然而,这件事不能一蹴而就,因为分歧依然存在。一、UNGGE做出的努力2015年9月,习近平主席与奥巴马总统举行重要会晤,开启了双方讨论一些准则并达... 详细信息

关注联合国信息安全政府专家组(UNGGE)的话题很重要,因为我们一定能够通过努力找到共同点,然而,这件事不能一蹴而就,因为分歧依然存在。一、UNGGE做出的努力2015年9月,习近平主席与奥巴马总统举行重要会晤,开启了双方讨论一些准则并达成共识的进程,而且,这些准则得到G7和G20峰会的支持。尽管存在不同意见,不易达成共识,但是,UNGGE的准则总体上是有效的。

关键词：行为准则网络空间责任信息安全专家组联合国奥巴马习近平

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2019年网络安全趋势预测

网络安全和信息化 2019年第1期 99-101页

作者： palo alto networks公司 palo alto networks公司

近年来世界网络安全形势呈现出新的特点,2019年到来之际,让我们在此对当前网络安全形势做出预测,或许能够在未来企业网络安全防护中有所帮助。

关键词：网络安全攻击者通用数据

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数据完整性是实现安全的关键

网络安全和信息化 2018年第3期 108-109页

作者： Sean Duca palo alto networks公司

保障企业业务的安全、稳定的运行是企业的重要工作,而保证业务安全的重中之重则是数据的安全,特别是数据的完整性。

关键词：数据完整性 AWS

CECAV-DNN:Collective Ensemble Comparison and Visualization using Deep Neural networks

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Visual Informatics 2020年第2期4卷 109-121页

作者： Wenbin He Junpeng Wang Hanqi Guo Han-Wei Shen Tom Peterka The Ohio State University ColumbusOHUnited States Visa Research Palo AltoCAUnited States Argonne National Laboratory LemontILUnited States

We propose a deep learning approach to collectively compare two or multiple ensembles,each of which is a collection of simulation *** purpose of collective comparison is to help scientists understand differences between simulation models by comparing their ensemble simulation ***,the collective comparison is non-trivial because the spatiotemporal distributions of ensemble simulation outputs reside in a very high dimensional *** this end,we choose to train a deep discriminative neural network to measure the dissimilarity between two given ensembles,and to identify when and where the two ensembles are *** also design and develop a visualization system to help users understand the collective comparison results based on the discriminative *** demonstrate the effectiveness of our approach with two real-world applications,including the ensemble comparison of the community atmosphere model(CAM)and the rapid radiative transfer model for general circulation models(RRTMG)for climate research,and the comparison of computational fluid dynamics(CFD)ensembles with different spatial resolutions.

关键词： Collective ensemble comparison Ensemble data visualization Deep neural networks

Identification and validation of key biomarkers and potential therapeutic targets for primary open-angle glaucoma

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Science China(Life Sciences) 2023年第12期66卷 2837-2850页

作者： Jian Wu Caixia Lin Chenlong Yang Lijie Pan Hongyi Liu Sirui Zhu Shuwen Wei Xu Jia Qi Zhang Ziyu Yu Xiaofang Zhao Weihai Liu Yehong Zhuo Ningli Wang Beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing Key Laboratory of Ophthalmology and Visual SciencesBeijing 100730China Beijing Tongren Eye Center Beijing Tongren HospitalCapital Medical UniversityBeijing 100730China Department of Neurosurgery Peking University Third HospitalCenter for Precision Neurosurgery and Oncology of Peking University Health Science CenterBeijing 100191China North America Medical Education Foundation Union City CA 94539USA State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060China Spencer Center for Vision Research Byers Eye InstituteSchool of MedicineStanford UniversityPalo Alto CA 94304USA

Primary open-angle glaucoma(POAG)is a prevalent cause of blindness worldwide,resulting in degeneration of retinal ganglion cells and permanent damage to the optic ***,the underlying pathogenetic mechanisms of POAG are currently indistinct,and there has been no effective nonsurgical treatment *** objective of this study is to identify novel biomarkers and potential therapeutic targets for *** mRNA expression microarray datasets GSE27276 and GSE138125,as well as the single-cell high-throughput RNA sequencing(sc RNA-seq)dataset GSE148371 were utilized to screen POAGrelated differentially expressed genes(DEGs).Functional enrichment analyses,protein-protein interaction(PPI)analysis,and weighted gene co-expression network analysis(WGCNA)of the DEGs were ***,the hub genes were validated at a single-cell level,where trabecular cells were annotated,and the mRNA expression levels of target genes in different cell clusters were *** and quantitative real-time PCR(q PCR)were performed for further *** analysis identified 43 downregulated and 32 upregulated genes in POAG,which were mainly enriched in immune-related pathways,oxidative stress,and endoplasmic reticulum(ER)*** networks showed that FN1 and DUSP1 were the central hub nodes,while GPX3 and VAV3 were screened out as hub genes through WGCNA and subsequently validated by q ***,FN1,GPX3,and VAV3 were determined to be pivotal core genes via single-cell *** relevant biomarkers involved in the pathogenesis of POAG,may serve as potential therapeutic *** studies are necessary to unveil the mechanisms underlying the expression variations of these genes in POAG.

关键词： primary open-angle glaucoma biomarkers immune response oxidative stress endoplasmic reticulum stress

Fused empirical mode decomposition and wavelets for locating combined damage in a truss-type structure through vibration analysis

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2013年第9期14卷 615-630页

作者： Arturo GARCIA-PEREZ Juan P. AMEZQUITA-SANCHEZ Aurelio DOMINGUEZ-GONZALEZ Ramin SEDAGHATI Roque OSORNIO-RIOS Rene J. ROMERO-TRONCOSO HSPdigital-CA Telematica-Procesamiento Digital de Se ales DICIS Universidad de Guanajuato Carr. Salamanca-Valle km 3.5+1.8 Palo Blanco 36885 Salamanca Gto. Mexico HSPdigital CA Mecatronica Facultad de Ingeniería Campus San Juan del Río Universidad Autonoma de Queretaro Moctezuma 249 Col. San Cayetano 76807 San Juan del Río Qro. Mexico Department of Mechanical and Industrial Engineering Concordia University1455 de Maisonneuve Boulevard West Montreal QC H3G 1M8 Canada

Structural health monitoring (SHM) is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real structures, two or more sites or types of damage can be present at the same time. It has been shown that one kind of damaged condition can interfere with the detection of another kind of damage, leading to an incorrect assessment about the structure condition. Identifying combined damage on structures still represents a challenge for condition monitoring, because the reliable identification of a combined damaged condition is a difficult task. Thus, this work presents a fusion of methodologies, where a single wavelet-packet and the empirical mode decomposition (EMD) method are combined with artificial neural networks (ANNs) for the automated and online identification-location of single or multiple-combined damage in a scaled model of a five-bay truss-type structure. Results showed that the proposed methodology is very efficient and reliable for identifying and locating the three kinds of damage, as well as their combinations. Therefore, this methodology could be applied to detection-location of damage in real truss-type structures, which would help to improve the characteristics and life span of real structures.

关键词： Truss structure Vibration Spectral analysis Wavelet packet transform Empirical mode decomposition Artificialneural network (ANN)