检索结果-内蒙古大学图书馆

Disorder-induced pronounced magnetoresistive hysteresis in Josephson junctions

Physical Review B 2025年第13期111卷 134513-134513页

作者： Yu Wu Daiqiang Huang Huanyu Zhang Anita Guarino Rosalba Fittipaldi Chao Ma Wenjie Hu Chang Niu Zhen Wang Weichao Yu Yuriy Yerin Antonio Vecchione Yang Liu Mario Cuoco Hangwen Guo Jian Shen State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 People's Republic of China Department of Physics Fudan University Shanghai 200433 People's Republic of China Shanghai Aerospace Control Technology Institute Shanghai 201109 People's Republic of China International Center for Quantum Materials Peking University Beijing 100871 People's Republic of China CNR-SPIN c/o Universitá di Salerno I-84084 Fisciano (SA) Italy College of Materials Science and Engineering Hunan University Changsha 410082 People's Republic of China Department of Physics University of Science and Technology of China Hefei Anhui 230026 Peoples Republic of China CNR-SPIN via del Fosso del Cavaliere 100 00133 Roma Italy Hefei National Laboratory Hefei 230088 People's Republic of China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 People's Republic of China Shanghai Research Center for Quantum Sciences Shanghai 201315 People's Republic of China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 People's Republic of China

The relation between superconductivity and time-reversal symmetry is one of the most fascinating problems in condensed-matter physics. Here we report an anomalous transport behavior in superconducting Josephson junctions induced by surface disorder. We fabricate vertical Josephson junctions using metallic superconductor (Al) and ion-bombarded Sr2RuO4. Below the superconducting transition temperature, we observe persistent magnetoresistive hysteresis behavior dependent on the disorder deposition time. Field- and temperature-dependent measurements suggest that the observed effects arise from disorder-induced anomalous flux in Sr2RuO4 which can be sensitively detected by superconducting Al. To account for the observed findings, we consider different physical scenarios such as interband surface pairing reconstruction, magnetic surface states, and vortex phases.

关键词： Hysteresis

来源：评论

学校读者我要写书评

暂无评论

A Novel Timing-based Network Covert Channel Detection Method

A Novel Timing-based Network Covert Channel Detection Method

引用

作者： Shoupu Lu Zhifeng Chen Guangxin Fu Qingbao Li State Key laboratory of Mathematical Engineering and Advanced Computing Henan University of Economics and Law

Network stealth events are endless,and covert timing channel is one of the most difficult means to *** order to further improve the detection rate of covert timing channel,several typical network covert timing channel construction algorithms are *** the basis of the above analysis,a detection method based on IPDs multidimensional features was proposed in this *** of covert timing channels from three dimensions:shape,change rule and data statistics are ***,polarization feature,autocorrelation feature,clustering feature are proposed,and the three features are unified into a *** threshold method is used to determine whether the channel to be detected is a normal *** show that the method can detect the existing covert timing channel with less time cost and compared with the traditional detection method has a certain rate of improvement.

关键词： IPD A Novel Timing-based Network Covert Channel Detection Method

来源：评论

学校读者我要写书评

暂无评论

Stealthy Malware Detection Based on Deep Neural Network

Stealthy Malware Detection Based on Deep Neural Network

引用

作者： Shoupu Lu Qingbao Li Xinbing Zhu State Key laboratory of Mathematical Engineering and Advanced Computing Henan University of Economics and Law

Network attacks using advanced local hiding technology have not only increased, but also become a serious threat. However, attacks using these technologies can not be detected through traffic detection, and some attacks imitate benign traffic to avoid detection. To solve these problems, a malware process detection method based on process behavior in possibly infected terminals is proposed. In this method, a deep neural network is introduced to classify malware processes. Firstly, the recurrent neural network is trained to extract the characteristics of process behavior. Secondly, training convolutional neural network is used to classify feature images generated by trained RNN features. The experiments results show that this method can effectively extract the features of malicious processes, and the AUC of ROC curve is 0.97 in the best case.

关键词： ROC image Stealthy Malware Detection Based on Deep Neural Network

来源：评论

学校读者我要写书评

暂无评论

Pdf Exploitable malware analysis based on exploit genes 12

Pdf Exploitable malware analysis based on exploit genes

引用

12th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2018

作者： Zhou, Xin Pang, Jianmin Liu, Fudong Wang, Jun Yue, Feng Liu, Xiaonan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781538660638

With the popularization of social networks, as a low-cost, high-efficiency entail attack method, most of the attack vectors were embedded in email attachments, and exploited vulnerability on Adobe and Office software. Among which PDF-based exploit samples are the main ones. In this paper, we combine bioinformatics and genetics and propose the pdf exploitable malware gene to analyze whether the exploits are exploited in the pdf malware based on software genes. We construct the experiments on the dataset collected from Virus Total filtered by the labels of multiple antivirus software. With the evaluation experiments, the results demonstrate the effectiveness of the pdf exploitable malware gene to detection and classification. © 2018 IEEE.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

A short text spectrum clustering method based on frequent itemsets 4

A short text spectrum clustering method based on frequent it...

引用

4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Luo, Nan Zhang, Ping Li, Qingbao Chen, Zhifeng Feng, Peijun Xue, Tianxiao Engineering and Advanced Computing State Key Laboratory of Mathematical Zhengzhou China

ISBN: (纸本)9781538683392

Short text datum, which contains a lot of useful information, could be easily found on a wide variety of self-media platform and social communication tools. on It is significant to use datum mining technology to automatically acquire knowledge from these datum. However, in short text datum, the word count is small, the text length is short and the information contained is little. Due to all these disadvantages, there are problems of feature sparseness and high information dimensionality. The accuracy of general text mining algorithms is usually unacceptable. This paper proposes a spectral clustering short text analysis method based on frequent itemsets. Firstly, the method cuts the short text datum, and compresses the datum using frequent itemsets. Secondly, a spectral algorithm based on Nyström sampling method is applied to perform clustering and topic extraction on the frequent itemsets. The method effectively solves the problems of feature sparseness and wide dimensions of short text datum. Experiments show that the methodhas better accuracy and performance than the existing algorithms when clustering short texts, and has a good clustering effect. © 2018 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

The research on application of software diversity in cyberspace security 4

The research on application of software diversity in cybersp...

引用

4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Zhang, Jiexin Pang, Jianmin Zhang, Zheng Liu, Zhenwu State Key Laboratory of Mathematical Engineering and Advanced Computing ZhengZhou China

ISBN: (纸本)9781538683392

Nowadays, the cyberspace security situation is unoptimistic. Widespread vulnerabilities and backdoors are the main factors of insecurity in cyberspace. Furthermore, the software monoculture makes the attack have an extensive impact. This article points out that software vulnerabilities can be used to cope with the security threats from vulnerabilities and backdoors. The paper, firstly, puts forward the shortcomings of the software monoculture, analyzes the validity and application of the software diversity, and points out that the software diversity will play a better role when combined with the redundancy and voting techniques. Then the paper introduces the source of software diversity, and analyzes several security systems which utilize software diversity. Finally, the prospects and challenges of using the software diversity to achieve security systems are summarized. © 2018 IEEE.

关键词： Security systems

来源：评论

学校读者我要写书评

暂无评论

Vulnerability Model and Evaluation of the UEFI Platform Firmware Based on Improved Attack Graphs 9

Vulnerability Model and Evaluation of the UEFI Platform Firm...

引用

9th IEEE International Conference on Software engineering and Service Science, ICSESS 2018

作者： Cao, Fei Li, Qingbao Chen, Zhifeng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781538665640

Targeted at the situation of rampant attack on UEFI Platform Firmware, this paper summarizes the UEFI platform firmware framework structure as well as its potential security problems. Then the vulnerability factors of UEFI platform firmware are described using the modeling language. This paper proposes an improved Attack Graphs model based on Finite state Machine (AGFSM), which can be used to evaluate the reliability of UEFI, as well as calculate the expected exploitation cost and expected attack loss. Finally, based on the AGFSM model, we realize the evaluation of a set of attack strategies for the UEFI platform firmware and verify the rationality of the model and the validity of the evaluation. The research is conducive to the rapid detection of the vulnerability of UEFI Platform Firmware, predict the attack paths and deploy the security strategy targeted to safeguard the firmware. © 2018 IEEE.

关键词： Firmware

来源：评论

学校读者我要写书评

暂无评论

Target function location based on code coverage analysis 2

Target function location based on code coverage analysis

引用

2nd International Conference on Material engineering and advanced Manufacturing Technology, MEAMT 2018

作者： Jin, Kaiwen Li, Qingbao Chen, Zhifeng State Key Laboratory of Mathematical Engineering and Advanced Computing Henan China

How to locate the target function faster and more accurately is a key problem of Automatic Reverse-engineering of Software Programs. In order to solve this problem, a target function location method based on code coverage analysis is proposed. Firstly, it obtains function call information of the program and calculate the suspicious rate of each function. And then a stability factor is proposed to reduce the noise functions. Finally, the target function is successfully located. The experimental results show the method proposed has linear time complexity. For software programs with million function calls, it can accurately locate the target function within several minutes, the performance and accuracy are greately improved compared to the contrast methods. © 2018 The Authors, published by EDP Sciences.

关键词： Reverse engineering

来源：评论

学校读者我要写书评

暂无评论

Signal approximation with Pascal’s triangle and sampling

Signal approximation with Pascal’s triangle and sampling

引用

Chinese Control and Decision Conference, CCDC

作者： Lei Chen Xinghuo Yu Jinhu Lü School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China School of Engineering RMIT University Melbourne VIC Australia

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

This brief explores the approximation properties of a unique basis expansion based on Pascal's triangle, which realizes a sampled-data driven approach between a continuous-time signal and its discrete-time representation. The roles of certain parameters, such as sampling time interval or model order, and signal characteristics, i.e., its curvature, on the approximation are investigated. Approximate errors in one and multiple-step predictions are analyzed. Furthermore, time-variant approximations under the thresholds of signal curvature are employed to narrow errors and provide flexibilities.

关键词： Shape Electronic mail Analytical models mathematical analysis Data models Upper bound

来源：评论

学校读者我要写书评

暂无评论

A review of cryptographic algorithm recognition technology for binary code

引用

Journal of Physics: Conference Series 2021年第1期1856卷

作者： Chenxia Zhao Fei Kang Ju Yang Hui Shu Zhengzhou University Zhengzhou Henan 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450001 China

Aiming at the cryptographic algorithm that may be contained in the binary program, combined with existing research results, several cryptographic algorithm identification techniques are analyzed, including control flow graphs, data flow graphs, feature matching, selection of command statistical attributes, and semantic-based behavior analysis. The recognition effects of related technologies are discussed respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：