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Application of meta-learning in cyberspace security:a survey

Digital Communications and Networks 2023年第1期9卷 67-78页

作者： Aimin Yang Chaomeng Lu Jie Li Xiangdong Huang Tianhao Ji Xichang Li Yichao Sheng Hebei Key Laboratory of Data Science and Application North China University of Science and TechnologyTangshan063000China Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes North China University of Science and TechnologyTangshan063000China The Key Laboratory of Engineering Computing in Tangshan City North China University of Science and TechnologyTangshan063000China

In recent years,machine learning has made great progress in intrusion detection,network protection,anomaly detection,and other issues in ***,these traditional machine learning algorithms usually require a lot of data to learn and have a low recognition rate for unknown *** them,“one-shot learning”,“few-shot learning”,and“zero-shot learning”are challenges that cannot be ignored for traditional machine *** more intractable problem in cyberspace security is the changeable attack *** a new attack mode appears,there are few or even zero samples that can be ***-learning comes from imitating human problem-solving methods as humans can quickly learn unknown things based on their existing knowledge when *** purpose is to quickly obtain a model with high accuracy and strong generalization through less data *** article first divides the meta-learning model into five research directions based on different principles of *** are model-based,metric-based,optimization-based,online-learning-based,or stacked ***,the current problems in the field of cyberspace security are categorized into three branches:cyber security,information security,and artificial intelligence security according to different ***,the application research results of various meta-learning models on these three branches are *** the same time,based on the characteristics of strong generalization,evolution,and scalability of meta-learning,we contrast and summarize its advantages in solving ***,the prospect of future deep application of meta-learning in the field of cyberspace security is summarized.

关键词： Meta-learning cyberspace security Machine learning Few-shot learning

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Survey on cyberspace security

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Science China(Information Sciences) 2015年第11期58卷 5-47页

作者： ZHANG HuanGuo HAN WenBao LAI XueJia LIN DongDai MA JianFeng LI JianHua Computer School of Wuhan University State Key Laboratory of Mathematics Engineering and Advanced Computing Department of Computer Shanghai Jiaotong University Institute of Information Engineering Chinese Academy of Sciences School of Cyber Engineering Xidian University School of Information security Engineering Shanghai Jiaotong University

Along with the rapid development and wide application of information technology, human society has entered the information era. In this era, people live and work in cyberspace. cyberspace is the collection of all information systems; it is the information environment for human survival. Therefore, it is necessary to ensure the security of cyberspace. This paper gives a comprehensive introduction to research and development in this field, with a description of existing problems and some currently active research topics in the areas of cyberspace itself, cyberspace security, cryptography, network security, information system security and information content security.

关键词： cyberspace security information security cryptography network security information system security information content security

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cyberspace security:a New Global Agenda

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Peace 2013年第4期 26-34页

作者： Liang Ping World Economic and Political Institute CASS

With rapid development of cyber technology,cyber networks help promote various countries’political,economic and social development,but also incubate new threats to national *** Western major countries have adopted national cyber security strategy in order to safeguard their key facilities and cyber *** international organizations also incorporate cyber security into their agenda and vigorously push member countries to conduct cyber security *** view of future trends,cyber security is a common challenge faced by various countries in the world,and global problems need global cooperation,however,the global cyberspace governance should be a formidable task considering that cyber space governance is a new issue and encounters the difference of national interests.

关键词： security cyberspace security NATO

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Artificial intelligence algorithms for cyberspace security applications:a technological and status review

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Frontiers of Information Technology & Electronic Engineering 2023年第8期24卷 1117-1142页

作者： Jie CHEN Dandan WU Ruiyun XIE School of Cybersecurity Northwestern Polytechnical UniversityXi’an710000China China Electronics Technology Network Information security Co. Ltd.Chengdu610000China

Three technical problems should be solved urgently in cyberspace security:the timeliness and accuracy of network attack detection,the credibility assessment and prediction of the security situation,and the effectiveness of security defense strategy *** intelligence(AI)algorithms have become the core means to increase the chance of security and improve the network attack and defense ability in the application of cyberspace ***,the breakthrough and application of AI technology have provided a series of advanced approaches for further enhancing network defense *** work presents a comprehensive review of AI technology articles for cyberspace security applications,mainly from 2017 to *** papers are selected from a variety of journals and conferences:52.68%are from Elsevier,Springer,and IEEE journals and 25%are from international *** a specific focus on the latest approaches in machine learning(ML),deep learning(DL),and some popular optimization algorithms,the characteristics of the algorithmic models,performance results,datasets,potential benefits,and limitations are analyzed,and some of the existing challenges are *** work is intended to provide technical guidance for researchers who would like to obtain the potential of AI technical methods for cyberspace security and to provide tips for the later resolution of specific cyberspace security issues,and a mastery of the current development trends of technology and application and hot issues in the field of network *** also indicates certain existing challenges and gives directions for addressing them effectively.

关键词： Artificial intelligence(AI) Machine learning(ML) Deep learning(DL) Optimization algorithm Hybrid algorithm cyberspace security

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The Interdisciplinary Education for The Emerging Engineering Majors:Taking cyberspace security Major as An Example

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计算机教育 2020年第12期 20-26页

作者： Kaikun Dong Xiaofei Xu Shisheng Zhong Dianhui Chu Huaqiang Zhang Bailing Wang Harbin Institute of Technology Weihai 264209China

The new generation of world information technology revolution has promoted the vigorous development and rapid transform of the new *** in-depth implementation of a series of Chinese important national strategies such as“Made in China 2025”and“Internet+”is urgently needed the support of innovative and outstanding emerging engineering talents with cross-border integration ***,interdisciplinary education plays an important role in the training of the needed emerging engineering *** cybersecurity as an example,this paper summarizes the professional’s requirements and proposes the educational objectives of Harbin Institute of *** the objective oriented curriculum system and the teaching model emphasizing project-based learning are *** practice and effect of interdisciplinary education are discussed and analyzed in four aspects including curriculum system,faculty,students and academy ***,suggestions are made on the individualized education and sustainable competitiveness cultivation of the emerging engineering talents.

关键词： emerging engineering education interdisciplinary education cyberspace security project based learning

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Achieve Personalized Anonymity Through Query Blocks Exchanging

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China Communications 2016年第11期13卷 106-118页

作者： Chunguang Ma Lei Zhang Songtao Yang Xiaodong Zheng Pinhui Ke College of Computer Science and Technology Harbin Engineering University Fujian Provincial Key Laboratory of Network security and Cryptology Fujian Normal University College of Information and Electronic Technology Jiamusi University College of Applied Technology Qiqihar University

In cyberspace security,the privacy in location-based services(LBSs) becomes more critical. In previous solutions,a trusted third party(TTP) was usually employed to provide disturbance or obfuscation,but it may become the single point of failure or service bottleneck. In order to cope with this drawback,we focus on another important class,establishing anonymous group through short-range communication to achieve k-anonymity with collaborative users. Along with the analysis of existing algorithms,we found users in the group must share the same maximum anonymity degree,and they could not ease the process of preservation in a lower one. To cope with this problem,we proposed a random-QBE algorithm to put up with personalized anonymity in user collaboration algorithms,and this algorithm could preserve both query privacy and location privacy. Then we studied the attacks from passive and active adversaries and used entropy to measure user's privacy level. Finally,experimental evaluations further verify its effectiveness and efficiency.

关键词： cyberspace security location-based services collaborative users personalized anonymity query and location privacy

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SecMVX:Analysis on the Vulnerability of Multi-Variant Execution

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China Communications 2021年第8期18卷 85-95页

作者： Bingzheng Li Zheng Zhang Xiaomei Wang Sheng Qu Jiangxing Wu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China China National Digital Switching System Engineering and Technological R&D Center Zhengzhou 450002China

As an active defenses technique,multivariant execution(MVX)can detect attacks by monitoring the consistency of heterogeneous variants with parallel *** with patch-style passive defense,MVX can defend against known and even unknown vulnerability-based attacks without relying on attack feature ***,variants generated with software diversity technologies will introduce new vulnerabilities when they execute in ***,we analyze the security of MVX theory from the perspective of formal *** we summarize the general forms and techniques for attacks against MVX,and analyze the new vulnerabilities arising from the combination of variant generation *** propose SecMVX,a secure MVX architecture and variant generation *** evaluations based on CVEs and SPEC 2006 benchmark show that SecMVX introduces 11.29%of the average time overhead,and avoids vulnerabilities caused by the improper combination of variant generation technologies while keeping the defensive ability of MVX.

关键词： multi-variant execution software diversity cyberspace security

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Dependence-Induced Risk: security Metrics and Their Measurement Framework

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China Communications 2016年第11期13卷 119-128页

作者： Liqiang Zhang Fei Yan Bo Zhao Shouhuai Xu Computer School Wuhan University Key Lab of Aerospace Information security and Trusted Computing Wuhan University State Key Lab of Software Engineering Wuhan University Department of Computer Science University of Texas at San Antonio

Despite the tremendous effort made by industry and academia,we are still searching for metrics that can characterize cyberspace and system security risks. In this paper,we study the class of security risks that are inherent to the dependence structure in software with vulnerabilities and exhibit a "cascading" effect. We present a measurement framework for evaluating these metrics,and report a preliminary case study on evaluating the dependence-induced security risks in the Apache HTTP Server. The experiment results show that our framework can not only clearly analyze the root cause of the security risks but also quantitatively evaluate the attack consequence of the risks.

关键词： cyberspace security security metrics exploitability surface attack conse quence risk assessment

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MUS Model:A Deep Learning-Based Architecture for IoT Intrusion Detection

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Computers, Materials & Continua 2024年第7期80卷 875-896页

作者： Yu Yan Yu Yang Shen Fang Minna Gao Yiding Chen College of Information Engineering University of Engineering of the Chinese People’s Armed Police Force(PAP)Xi’an710000China College of Missile Engineering Rocket Force Engineering UniversityXi’an710000China

In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and *** them,Intrusion Detection System(IDS)has been proven to be stable and ***,traditional intrusion detection methods have shortcomings such as lowdetection accuracy and inability to effectively identifymalicious *** address the above problems,this paper fully considers the superiority of deep learning models in processing highdimensional data,and reasonable data type conversion methods can extract deep features and detect classification using advanced computer vision techniques to improve classification *** TransformField(MTF)method is used to convert 1Dnetwork traffic data into 2D images,and then the converted 2D images are filtered by UnsharpMasking to enhance the image details by sharpening;to further improve the accuracy of data classification and detection,unlike using the existing high-performance baseline image classification models,a soft-voting integrated model,which integrates three deep learning models,MobileNet,VGGNet and ResNet,to finally obtain an effective IoT intrusion detection architecture:the MUS *** types of experiments are conducted on the publicly available intrusion detection dataset CICIDS2018 and the IoT network traffic dataset N_BaIoT,and the results demonstrate that the accuracy of attack traffic detection is greatly improved,which is not only applicable to the IoT intrusion detection environment,but also to different types of attacks and different network environments,which confirms the effectiveness of the work done.

关键词： cyberspace security intrusion detection deep learning Markov Transition Fields(MTF) soft voting integration

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Survey on Key Technology Development and Application in Trusted Computing

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China Communications 2016年第11期13卷 70-90页

作者： Juan Wang Yuan Shi Guojun Peng Huanguo Zhang Bo Zhao Fei Yan Fajiang Yu Liqiang Zhang School of computer Wuhan University Key Laboratory of Aerospace Information security and trusted computing Ministry of Education Wuhan University

Trusted computing,which can effectively increase the credibility of information system,has made great achievements and is in continuous development. For country who is going to strengthen network construction like China,it is an important fundamental supporting technology worth researching. China is in the international forefront in the field of trusted computing. This paper gives comprehensive introductions to the new development and application of key technologies in trusted computing,such as various trusted platform modules(TPM、TCM、TPCM),TCG Software Stack(TSS),trusted cloud server and Trusted Execution Environment(TEE). We illustrate the progressing and application extension of these technologies and also point out some key problems worth studying in the future.

关键词： cyberspace security information security information system security cryptography trusted computing

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