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International Conference on Information, Communication and Networks (ICICN)

作者： Yuming Zhu Weiyu Dong Cyber Security Department State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665490832

As an important program analysis method, taint analysis technology has been widely used in the field of vulnerability detection. However, the existing dynamic taint analysis needs to design instruction-by-instruction taint propagation rules, which is expensive and has a high false positive rate for identifying the implicit control flow of the target program. In view of the above problems, this paper proposes a dynamic taint analysis method nnTaint based on neural network for the existing taint-guided fuzzing technology, which has the characteristics of low cost and low false positives. Comparing nnTaint with the existing taint analysis tools, the operation efficiency is improved by 10.9%-18.8% compared with the traditional taint analysis, which reduces the cost of the existing dynamic taint analysis technology to a certain extent. On the LAVA-M testing datasets and GNU binutils program, nnTaint improves the edge coverage by 4.7%-16% compared with the existing taint-guided fuzzing tools, effectively improving the implicit control flow recognition accuracy of the existing dynamic taint analysis. The results show that nnTaint can improve the efficiency and accuracy of existing dynamic taint analysis tools.

关键词： Costs Instruments Source coding Prototypes Optimization methods Artificial neural networks Fuzzing

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An IP geolocation method based on rich-connected sub-networks

An IP geolocation method based on rich-connected sub-network...

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International Conference on advanced Communication Technology (ICACT)

作者： Shichang Ding Xiangyang Luo Meijuan Yin Yan Liu Fenlin Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute China

ISBN: (纸本)9781467381161

Recent years have seen a rapid growth of location-aware applications such as targeted marketing, restricted content delivery and location-based security check. Although existing delay-based IP geolocation techniques work well in some developed countries, the assumption of a strong delay-distance correlation that they often rely on may fail in many developing countries for poor network connectivity. To obtain more accurate delay-based IP geolocation results in poor-connected networks, an IP geolocation method based on rich-connected sub-networks is presented in this paper. At first, the network connectivity of one particular network is measured. Next, if the network is poor-connected, the method will divide it and search rich-connected sub-networks based on properties such as ISP and location information of probing hosts and landmarks. Then, based on the discovered rich-connected sub-networks, landmarks and probing hosts are deployed and selected to measure data such as delay, distance and topology, etc. At last, the location of the target host is estimated by modifying the processes of existing delay-based IP geolocation techniques based on selected landmarks and probing hosts. The experiments which cover 30 provinces and 3 major ISPs of China show that the proposed method can find corresponding rich-connected sub-networks and significantly improve the performance of existing typical delay-based IP geolocation techniques in an actual poor-connected network.

关键词： Geology IP networks Cities and towns Delays Correlation Internet Databases

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Comments on Privacy-preserving Yoking proof with key exchange in the three-party setting

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International Journal of Network Security 2019年第2期21卷 355-358页

作者： Cheng, Qingfeng Zhang, Xinglong State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan Province450001 China

In 2017, Tian, Yang and Mu presented a new three-party key exchange protocol YPKE in radio frequency identification environment, which is based on the HMQV protocol. They claimed that the proposed YPKE protocol in the three-party setting meets user privacy and session key security. In this comment, we point out that the YPKE protocol still has some weaknesses. Our results show that the proposed YPKE protocol cannot provide perfect forward secrecy, and also cannot resist impersonation attack. At the same time, the YPKE protocol is lack of the security of ephemeral private key leakage and unknown key-share, which the original HMQV protocol can achieve. © 2019 Femto Technique Co., Ltd.

关键词： Radio frequency identification (RFID)

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Research of Teaching Methods for Professional Training Based on Project Driven Teaching Practices

Research of Teaching Methods for Professional Training Based...

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International Conference on Industrial Technology and Management Science(ITMS 2015)

作者： Da Xiao Yong Liu Lujia Cao Shengli Liu Dongyue Yan Zheng Zhou Information Science University State Key Laboratory of Mathematical Engineering and Advanced Computing

For business-oriented type of short-term training courses of this new task of teaching and teaching needs, to carry out an in-depth analysis and research, detailed the demand characteristics of these new teaching curriculum, on this basis, based on the design of a project-driven teaching practices, the implementation process is given in detail all aspects of teaching practice, and the teaching process should have the conditions and problems likely to face in-depth analysis of short-term training courses for such business-oriented type of conduct has implementation of targeted teaching a useful exploration and try.

关键词： P roject-driven Office training Teaching methods Practice

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An Improved Demand-Driven Pointer Alias Analysis Algorithm

An Improved Demand-Driven Pointer Alias Analysis Algorithm

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2014 International Conference on Computer,Network Security and Communication engineering(CNSCE 2014)

作者： Peng LIU Rong-cai ZHAO Wei GAO Xiang-jie MENG State Key Laboratory of Mathematical Engineering and Advanced Computing Personnel Department of Henan Meteorological Bureau

Pointer alias analysis is a key technology in dataflow analysis, the analysis results are the basis of compilation optimization and program transformation. Based on the analysis of demand-driven pointer analysis algorithms, the imprecision of demand driven alias analysis algorithm of one level flow is studied. Combined with two demand driven analysis algorithms, an improved pointer alias analysis algorithm is proposed. Finally the algorithm is evaluated on SPEC2006 benchmark, the experiment results show that the algorithm has high precision and fine scalability than the other two.

关键词： Pointer alias analysis Demand driven Context-free language Scalability

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Hidden System APIs Based Code Obfuscation

Hidden System APIs Based Code Obfuscation

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2015 International Conference on Mechanical,Electronic and Information Technology engineering

作者： Fei Xiang Fenlin Liu Bin Lu Daofu Gong Zhengzhou Information Science and Technology Institute State Key Laboratory of Mathematical Engineering and Advanced Computing

For the problem that static disassembly can expose system API calls in programs, this paper proposes a kind of code obfuscation aimed at hiding system API calls from reverse analysis. The algorithm is implemented by creating a system API address table and constructing secret index variables. During execution, the program looks up the table for the correct API to call, thus keeping the semantic unchanged. Analysis and experiments show that the algorithm can effectively protect system API calls from static reverse analysis.

关键词： static disassembly reverse analysis code obfuscation system API address table

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CinfoFuzz: Fuzzing Method Based on Web Service Correlation Information of Embedded Devices

CinfoFuzz: Fuzzing Method Based on Web Service Correlation I...

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International Conference on Information, Communication and Networks (ICICN)

作者： Qi Feng Weiyu Dong Cyberspace Security Department State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665490832

There are many vulnerable vulnerabilities in Web service of embedded devices. However, existing fuzzing methods cannot analyze such Web service efficiently or effectively. Aiming at the above problems, this paper proposes a fuzzing method based on Web service correlation information of embedded devices (Wsci-ed). Based on this method, this paper implements the fuzzing test prototype tool CinfoFuzz, which guides the fuzzing with Wsci-ed. Comparing the performance of CinfoFuzz with the fuzzing tools Boofuzz and Peach, the results show that CinfoFuzz has higher efficiency; in the vulnerability mining experiment of actual software, CinfoFuzz can trigger more vulnerabilities.

关键词： Performance evaluation Correlation Web services Prototypes Computer architecture Fuzzing Software

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Median Filtering Detection Based on Quaternion Convolutional Neural Network

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Computers, Materials & Continua 2020年第10期65卷 929-943页

作者： Jinwei Wang Qiye Ni Yang Zhang Xiangyang Luo Yunqing Shi Jiangtao Zhai Sunil Kr Jha Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Department of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing100093China Department of Electrical Computer Engineering New Jersey Institute of TechnologyNew JerseyNJ07102USA

Median filtering is a nonlinear signal processing technique and has an advantage in the field of image ***,more attention has been paid to the forensics research of median *** this paper,a median filtering forensics method based on quaternion convolutional neural network(QCNN)is *** median filtering residuals(MFR)are used to preprocess the *** the output of MFR is expanded to four channels and used as the input of *** QCNN,quaternion convolution is designed that can better mix the information of different channels than traditional *** quaternion pooling layer is designed to evaluate the result of quaternion *** is proposed to features well combine the three-channel information of color image and fully extract forensics *** show that the proposed method has higher accuracy and shorter training time than the traditional convolutional neural network with the same convolution depth.

关键词： Median filtering forensics quaternion convolution layer quaternion pooling layer color image

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Vulnerability Analysis for Complex Networks under the Shortest Path-Attack Strategies

Vulnerability Analysis for Complex Networks under the Shorte...

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2016 International Conference on Communications, Information Management and Network Security (CIMNS2016)

作者： Yaohui Hao Jihong Han Qinghua Cheng Yongjin Hu Zhengzhou Institute of Information Science and technology State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781510830981

We proposed three shortest path-attack strategies and investigated the vulnerability of three complex model networks under these path-attack strategies. The experimental results indicate that the robustness of random network is the weakest, but small-world network is the strongest under the shortest pathattack strategies. We also obtain that the shortest path-attack strategies are more harmful than RPA(random augmenting approach) attack strategy. These findings supplement and extend the previous attack results and can thus help us to provide some insights into the design of more robust networks.

关键词： vulnerability complex network shortest path-attack degree betweeness

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A Traffic Classification Method Based on Wavelet Spectrum of Scatter Factor and Improved K-means

A Traffic Classification Method Based on Wavelet Spectrum of...

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2016 3rd International Conference on engineering Technology and Application（ICETA 2016）

作者： Jinlong Fei Tianpeng Wang Xinzheng He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Science and Technology on Communication Security Laboratory

Based on the problem that supervised machine learning requires labeled samples and fails to identify unknown traffic,the author innovatively integrates wavelet transform and K-means algorithm of unsupervised machine learning by combining the advantage of wavelet transform in solving multi-fractal network traffic and proposes a traffic identification method based on wavelet spectrum of scatter factor and improved *** method represents each stream sequence with wavelet spectrum of scatter factor,which is taken as the input of clustering *** author carries out a cluster analysis with GA K-means *** experimental result suggests that this method has an obvious superiority in stability and accuracy of classification.

关键词： traffic classification machine learning wavelet spectrum of scatter factor genetic algorithm GAK-means

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