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VMScan: an out-of-VM malware scanner

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The Journal of China Universities of Posts and Telecommunications 2020年第4期27卷 59-68页

作者： Lin Jie Liu Chuanyi fang binxing School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Information and Electronic Engineering Chinese Academy of EngineeringBeijing 100088China

The harm caused by malware in cloud computing environment is more and more serious. Traditional anti-virus software is in danger of being attacked when it is deployed in virtual machine on a large scale, and it tends not to be accepted by tenants in terms of performance. In this paper, a method of scanning malicious programs outside the virtual machine is proposed, and the prototype is implemented. This method transforms the memory of the virtual machine to the host machine so that the latter can access it. The user space and kernel space of virtual machine memory are analyzed via semantics, and suspicious processes are scanned by signature database. Experimental results show that malicious programs can be effectively scanned outside the virtual machine, and the performance impact on the virtual machine is low, meeting the needs of tenants.

关键词： security virtualization cloud malware virus detection signature scanning

Structure-independent disaster recovery:Concept,architecture and implementations

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Science in China(Series F) 2009年第5期52卷 813-823页

作者： ZHENG WeiMin fang binxing Department of Computer Science and Technology Tsinghua University Beijing 100084 China Beijing University of Posts and Telecommunications Beijing 100876 China

Disaster recovery （DR） techniques ensure the data safety and service continuity under different natural and human-made disasters by constructing a high reliable storage system. Traditional disaster recovery methods are structure-dependent. It is hard to share the DR resources between different DR systems, which made it expensive. We present a structure-independent disaster recovery theory and its implementation methods in this paper. By backup the whole system but not just the data, the goal of device and application-independent disaster recovery has been achieved. We further present a parallel recovery model and an on demand data retrieval method based on the theory. Some implementation details of prototype recovery system are also discussed. With the methods independent from specific devices or applications, the cost of disaster recovery infrastructure can be essentially reduced by resource sharing. Experiments show that the recovery time has also been greatly shortened with little service degradation.

关键词： disaster recovery parallel virtualization

Theories of Social Media： Philosophical Foundations

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Engineering 2018年第1期4卷 94-102页

作者： Jiayin Qi Emmanuel Monod binxing fang Shichang Deng School of Management Shanghai University of International Business and Economics Shanghai 201620 China Institute of Artificial Intelligence and Change Management Shanghai University of International Business and Economics Shanghai 200336 China Institute of Cyberspace Advanced Technology Guangzhou University Guangzhou 510006 China China Electronics Corporation Beijing 100082 China Key Laboratory of Trustworthy Distributed Computing and Service of Ministry of Education Belting University of Posts and Telecommunications Beijing 100876 China

Although many different views of social media coexist in the field of information systems （IS）, such the- ories are usually not introduced in a consistent framework based on philosophical foundations, This paper introduces the dimensions of lifeworld and consideration of others, The concept of lifeworld includes Descartes＇ rationality and Heidegger＇s historicity, and consideration of others is based on instru- mentalism and Heidegger＇s ＂being-with,＂ These philosophical foundations elaborate a framework where different archetypal theories applied to social media may he compared： Goffman＇s presentation of sell Bourdieu＇s social capital, Sartre＇s existential project, and Heidegger＇s ＂shared-world,＂ While Goffman has become a frequent reference in social media, the three other references are innovative in IS research, The concepts of these four theories of social media are compared with empirical findings in IS literature, While some of these concepts match the empirical findings, some other concepts have not yet been inves- tigated in the use of social media, suggesting future research directions,

关键词： Social media Lifeworld Consideration of others Rationality Historicity lnstrumentalism Being-with Presentation of self

Threat-Based Declassification and Endorsement for Mobile Computing

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Chinese Journal of Electronics 2019年第5期28卷 1041-1052页

作者： YIN Lihua GUO Yunchuan ZHANG Huibing HUANG Wenting fang binxing Cyberspace Institute of Advanced Technology Guangzhou University The State Key Laboratory of Information Security Institute of Information Engineering CAS Guangxi Key Lab of Trusted Software Guilin University of Electronic Technology The National Computer Network Emergency Response Technical Team/Coordination Center of China

Declassification and endorsement can efficiently improve the usability of mobile ***, both declassify and endorse operations in practice are often ad-hoc and nondeterministic, thus, being insecure. From a new perspective of threat assessments,we propose the Threat-based typed security π-calculus(πTBTS) to model declassification and endorsement in mobile computing. Intuitively, when relaxing confidentiality policies and/or integrity policies, we respectively assess threats brought by performing these two relaxes. If these threats are acceptable, the declassification and/or endorsement operations are permitted; Otherwise, they are denied. The proposed assessments have explicit security conditions, results and less open parameters,so our approach solves the problem of the ad-hoc and nondeterministic semantics and builds a bridge between threat assessments and declassification/endorsement.

关键词： Declassification Endorsement Threat assessment Mobile computing π-Calculus

Understanding information interactions in diffusion： an evolutionary game-theoretic perspective

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Frontiers of Computer Science 2016年第3期10卷 518-531页

作者： Yuan SU Xi ZHANG Lixin LIU Shouyou SONG binxing fang Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationSchool of Computer Science Beijing University of Posts and Telecommunications Beijing 100876 China

Social networks are fundamental media for dif- fusion of information and contagions appear at some node of the network and get propagated over the edges. Prior re- searches mainly focus on each contagion spreading indepen- dently, regardless of multiple contagions＇ interactions as they propagate at the same time. In the real world, simultaneous news and events usually have to compete for user＇s attention to get propagated. In some other cases, they can cooperate with each other and achieve more influences. In this paper, an evolutionary game theoretic framework is proposed to model the interactions among multiple con- tagions. The basic idea is that different contagions in social networks are similar to the multiple organisms in a popula- tion, and the diffusion process is as organisms interact and then evolve from one state to another. This framework statis- tically learns the payoffs as contagions interacting with each other and builds the payoff matrix. Since learning payoffs for all pairs of contagions IS almost impossible （quadratic in the number of contagions）, a contagion clustering method is proposed in order to decrease the number of parameters to fit, which makes our approach efficient and scalable. To ver- ify the proposed framework, we conduct experiments by us- ing real-world information spreading dataset of Digg. Exper- imental results show that the proposed game theoretic frame- work helps to comprehend the information diffusion process better and can predict users＇ forwarding behaviors with more accuracy than the previous studies. The analyses of evolution dynamics of contagions and evolutionarily stable strategy re- veal whether a contagion can be promoted or suppressed by others in the diffusion process.

关键词： social networks information diffusion gametheory evolutionary game evolution dynamics

The New Frontiers of Cybersecurity

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Engineering 2018年第1期4卷 1-2页

作者： binxing fang Kui Ren Yan Jia China Electronics Corporation Beijing 100846 China Guangzhou University Guangzhou 510006 China Beijing University of Posts and Telecommunications Beijing 100876 China University at Buffalo State University of New York Buffalo NY 14228 USA Notional University of Defense Technology Changsha 410073 China

Security technology is a special kind of companion technology that is developed for the underlying applications it serves. It is becoming increasingly critical in today＇s society, as these underlying applications become more and more interconnected, pervasive, and intelligent. In recent years, we have witnessed the prolifera- tion of cutting-edge computing and information technologies in a wide range of emerging areas, such as cloud computing.

关键词： The New Frontiers Cybersecurity

Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder

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Science China(Information Sciences) 2024年第8期67卷 238-252页

作者： Xiang LUO Chang LIU Gaopeng GOU Gang XIONG Zhen LI binxing fang Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences School of Computer Science and Technology Harbin Institute of Technology (Shenzhen)

Accurate identification of malicious traffic is crucial for implementing effective defense countermeasures and has led to extensive research efforts. However, the continuously evolving techniques employed by adversaries have introduced the issues of concept drift, which significantly affects the performance of existing methods. To tackle this challenge, some researchers have focused on improving the separability of malicious traffic representation and designing drift detectors to reduce the number of false ***, these methods often overlook the importance of enhancing the generalization and intraclass consistency in the representation. Additionally, the detectors are not sufficiently sensitive to the variations among different malicious traffic classes, which results in poor performance and limited robustness. In this paper, we propose intraclass consistency enhanced variational autoencoder with Class-Perception detector(ICE-CP) to identify malicious traffic under concept drift. It comprises two key modules during training:intraclass consistency enhanced(ICE) representation learning and Class-Perception(CP) detector construction. In the first module, we employ a variational autoencoder(VAE) in conjunction with Kullback-Leibler(KL)-divergence and cross-entropy loss to model the distribution of each input malicious traffic flow. This approach simultaneously enhances the generalization, interclass consistency, and intraclass differences in the learned representation. Consequently, we obtain a compact representation and a trained classifier for nondrifting malicious traffic. In the second module, we design the CP detector, which generates a centroid and threshold for each malicious traffic class separately based on the learned representation, depicting the boundaries between drifting and non-drifting malicious traffic. During testing, we utilize the trained classifier to predict malicious traffic classes for the testing samples. Then, we use the CP det

关键词： concept drift malicious traffic identification variational autoencoder intrusion detection cyberspace security

Modeling Multi-factor Sequential User Behavior Data over Social Networks

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Chinese Journal of Electronics 2016年第2期25卷 364-371页

作者： WANG Peng ZHANG Peng ZHOU Chuan GUO Li fang binxing YANG Tao Institute of Computing Technology Chinese Academy of Sciences Institute of Information Engineering Chinese Academy of Sciences Beijing University of Posts and Telecommunications China Information Technology Security Evaluation Center

Modeling dynamic user behavior over online social networks not only helps us understand user behavior patterns on social networks, but also improves the performance of behavior analysis tasks. Time-varying user behavior is commonly influenced by multiple factors: user habit, social influence and external events. Existing works either consider only a part of these factors, or fail to model the dynamics behind user behavior. Thus, they cannot precisely model the user behavior. We present a generative Bayesian model HES to model dynamic user behavior *** take the influential factors and user’s selection process as separate latent variables, based on which we can recover the evolving patterns underneath user behavior data sequences. Empirical results on large-scale social networks show that the proposed approach outperforms existing user behavior prediction models by at least 8% w.r.t. prediction accuracy. Our work also unveils some interesting insights underneath social behavior data.

关键词： Malicious user detection User behavior Social networks Bayesian model Social influence

A Review of Data Cleaning Methods for Web Information System

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Computers, Materials & Continua 2020年第3期62卷 1053-1075页

作者： Jinlin Wang Xing Wang Yuchen Yang Hongli Zhang binxing fang School of Computer Science and Technology Harbin Institute of TechnologyHarbin150006China

Web information system(WIS)is frequently-used and indispensable in daily social *** provides information services in many scenarios,such as electronic commerce,communities,and *** cleaning plays an essential role in various WIS scenarios to improve the quality of data *** this paper,we present a review of the state-of-the-art methods for data cleaning in *** to the characteristics of data cleaning,we extract the critical elements of WIS,such as interactive objects,application scenarios,and core technology,to classify the existing ***,after elaborating and analyzing each category,we summarize the descriptions and challenges of data cleaning methods with sub-elements such as data&user interaction,data quality rule,model,crowdsourcing,and privacy ***,we analyze various types of problems and provide suggestions for future research on data cleaning in WIS from the technology and interactive perspective.

关键词： Data cleaning web information system data quality rule crowdsourcing privacy preservation