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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Chen, Lin Yang, Chunfang Liu, Fenlin Gong, Daofu Ding, Shichang Zhengzhou Science and Technology Institute Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China University of Göttingen Goldschmidtstr. 7 Göttingen37077 Germany

ISBN: (纸本)9783030242671

The security-sensitive functions can be effectively used to improve the efficiency of vulnerability mining techniques, but mining security-sensitive functions of the large-scale code base is difficult. An automatic mining framework for security-sensitive functions is proposed. Firstly, a class of high-resolution code features is used to extract suspected security-sensitive function sets, and then a class of code features is applied to measure the sensitivity of each suspected security-sensitive function. Ultimately, the final security-sensitive function set is ensured based on the measurement result. Established along the framework, a mining algorithm for a type security-sensitive function is proposed. Through the mining experiments on three well-known open source codes, the performance of this algorithm is better than the existing methods. © 2019, Springer Nature Switzerland AG.

关键词： Open source software

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Research and Design of Square Kilometer Array Astronomical Data Management Model Based on Fabric 13

Research and Design of Square Kilometer Array Astronomical D...

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2020 IEEE Congress on Cybermatics: 13th IEEE International Conferences on Internet of Things, iThings 2020, 16th IEEE International Conference on Green computing and Communications, GreenCom 2020, 13th IEEE International Conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th IEEE International Conference on Smart Data, SmartData 2020

作者： Fu, Jinhua Xu, Jie Zhang, Shulin Zhang, Chen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou University of Light Industry Zhengzhou China Zhengzhou University of Light Industry Zhengzhou China Qinghai University Department of Computer Technology and Applications Xining China

ISBN: (纸本)9781728176475

At present, how to safely share data among different participants has become a huge challenge. The reliable traceability of SKA data is a powerful technical tool for controlling its security and sharing. In order to solve the problem of high management cost and low data credibility of traditional centralized big data management system, SKA data management and credible traceability model design based on Hyperledger Fabric were studied. In this paper, the overall framework and architecture of SKA data management are studied and designed, and the key technologies such as big data storage scheme, big data transmission, big data processing, blockchain metadata storage, alliance chain member allocation, traceability query, contribution mechanism and data sharing are discussed. Distributed architecture, Hyperledger Fabric alliance chain technology, database technology, Golang network programming, Rust asynchronous programming, Java Web and *** are comprehensively adopted. The functions of SKA data transmission, processing, storage, traceability query and data sharing are designed. The functions of transmission, processing, storage, management, sharing and credible traceability of SKA data management system are realized, which provides a reference for the design and implementation of SKA data management system based on blockchain. © 2020 IEEE.

关键词： Metadata

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Steganalysis of F5-like steganography based on selection of joint distribution features 13

Steganalysis of F5-like steganography based on selection of ...

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5th International Conference on Internet Multimedia computing and Service, ICIMCS 2013

作者： Liu, Yuan Luo, Xiangyang Lu, Jicang Gong, Daofu Zhengzhou Information Science and Technology Institute Zhengzhou 450001 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Zhengzhou Information Science and Technology Institute State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781450322522

For steganalysis of F5-like steganography with two types of widely used joint distribution statistical features: co-occurrence matrix and Markov transition probability matrix, a feature selection and fusion method based on separability comparison is proposed in this paper. Firstly, the changing ways of F5-like steganography to image data is analyzed. Then, according to different affecting ways of the changing to two types of features, the separability of each feature component is analyzed and compared. At last, based on the comparison conclusion, a new feature is obtained by selection and fusion. Experimental results show that, compared with existing typical features, the proposed new feature can achieve higher steganalytic accuracy and enhance the detection reliability. © 2013 ACM.

关键词： Steganography

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Enhancing reliability and efficiency for real-time robust adaptive steganography using cyclic redundancy check codes

Enhancing reliability and efficiency for real-time robust ad...

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作者： Zhang, Yi Luo, Xiangyang Zhu, Xiaodong Li, Zhenyu Bors, Adrian G. State Key Laboratory of Mathematical Engineering and Advanced Computing 62# Science Rd Zhengzhou China Department of Computer Science University of York YorkYO10 5GH United Kingdom

The development of multimedia and deep learning technology bring new challenges to steganography and steganalysis techniques. Meanwhile, robust steganography, as a class of new techniques aiming to solve the problem of covert communication under lossy channels, has become a new research hotspot in the field of information hiding. To improve the communication reliability and efficiency for current real-time robust steganography methods, a concatenated code, composed of Syndrome–Trellis codes (STC) and cyclic redundancy check (CRC) codes, is proposed in this paper. The enhanced robust adaptive steganography framework proposed is this paper is characterized by a strong error detection capability, high coding efficiency, and low embedding costs. On this basis, three adaptive steganographic methods resisting JPEG compression and detection are proposed. Then, the fault tolerance of the proposed steganography methods is analyzed using the residual model of JPEG compression, thus obtaining the appropriate coding parameters. Experimental results show that the proposed methods have a significantly stronger robustness against compression, and are more difficult to be detected by statistical based steganalytic methods. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Steganography

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An energy-efficient bandwidth allocation method for single-chip heterogeneous processor 7

An energy-efficient bandwidth allocation method for single-c...

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7th International Green and Sustainable computing Conference, IGSC 2016

作者： Zhu, Yatao Zhang, Shuai Ye, Xiaochun Wang, Da Tan, Xu Fan, Dongrui Zhang, Zhimin Li, Hongliang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi Jiangsu China

ISBN: (纸本)9781509051175

In recent years, many studies on optimization of energy consumption have focused on heterogeneous processor architectures. Heterogeneous computing model composed of CPU and GPU has developed from co-processing between the chips to CPU and GPU integration on the same die. On the one hand, because GPU can work under low voltage and ultra-low frequency, heterogeneous multi-core processors exhibit better energy efficiency compared to traditional CPU;On the other hand, because GPU usually has little or no shared cache, its memory bandwidth demand will be several times more than that of CPU for the same performance. Considering the constraints of power consumption and memory bandwidth, the contention problems of power and bandwidth among CPU and GPU in heterogeneous processor will inevitably occur. In this paper, energy-efficient bandwidth allocation method for heterogeneous processors allocates bandwidth to CPU and GPU and increases the overall throughput of CPU and GPU. Meanwhile the efficiency of energy consumption of heterogeneous processors is improved. The queuing delay is introduced to build a performance-energy model for heterogeneous processors. According to experience parameters, we analyze how the memory bandwidth allocation of off-chip affects the total throughput and energy efficiency. This paper also explores the change of performance-energy gains with the cache miss ratio of processors and the degree of scarce of available peak bandwidth. Based on the above research, the analytical solution of energy-efficient bandwidth allocation for optimal performance is obtained, and the solution can get more performance-energy gains compared with natural bandwidth allocation. © 2016 IEEE.

关键词： Bandwidth

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Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network

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Chinese Journal of Electronics 2024年第3期33卷 657-671页

作者： Hao WANG Jinwei WANG Xuelong HU Bingtao HU Qilin YIN Xiangyang LUO Bin MA Jinsheng SUN Department of Automation Nanjing University of Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Department of Computer and Software Nanjing University of Information Science and Technology School of Management Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing Qilu University of Technology

Detection of color images that have undergone double compression is a critical aspect of digital image *** the existence of various methods capable of detecting double Joint Photographic Experts Group(JPEG) compression,they are unable to address the issue of mixed double compression resulting from the use of different compression *** particular,the implementation of Joint Photographic Experts Group 2000(JPEG2000)as the secondary compression standard can result in a decline or complete loss of performance in existing *** tackle this challenge of JPEG+JPEG2000 compression,a detection method based on quaternion convolutional neural networks(QCNN) is *** QCNN processes the data as a quaternion,transforming the components of a traditional convolutional neural network(CNN) into a quaternion *** relationships between the color channels of the image are preserved,and the utilization of color information is ***,the method includes a feature conversion module that converts the extracted features into quaternion statistical features,thereby amplifying the evidence of double *** results indicate that the proposed QCNN-based method improves,on average,by 27% compared to existing methods in the detection of JPEG+JPEG2000 compression.

关键词： Color image forensics JPEG JPEG2000 Mixed double compression Quaternion convolutional neural network

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A Dual-Watermarking Scheme Robust to Affine Transformation

A Dual-Watermarking Scheme Robust to Affine Transformation

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2021 International Conference on Computer Network Security and Software engineering, CNSSE 2021

作者： Liu, Feng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou City Henan Province450000 China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou City Henan Province450000 China

This paper proposes a robust watermarking algorithm based on dual watermarking and robust affine transformation. First, the color image is divided into three channels, feature point extraction, watermark embedding, and location watermark extraction will be performed respectively. Feature points are used for image reconstruction when extracting watermarks. The watermark embedding needs to select a square area not at the edge of the image as the watermark embedding position, and then embed the watermark in the frequency domain of the corresponding area. According to the watermark embedding position, extract the zero watermark in another channel as the location watermark. Because the zero watermark does not modify the original image information, it has good robustness and can assist the attacked image to locate the watermark embedding position. © Published under licence by IOP Publishing Ltd.

关键词： Image reconstruction

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A Robust Watermarking Scheme based on Delaunay Image Reconstruction Robust to Affine Transformation 6

A Robust Watermarking Scheme based on Delaunay Image Reconst...

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2021 6th International Symposium on Advances in Electrical, Electronics and Computer engineering, ISAEECE 2021

作者： Feng, Liu Gong, Daofu Wang, Wenbing State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou City Henan Province450000 China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou City Henan Province450000 China

This paper proposes a sub-channel image reconstruction algorithm based on Delaunay triangle. First, according to the different sensitivity of the human eye to the three color channels, different channels are used to avoid the influence of watermark embedding on pixels around the feature points. Then, feature points should be selected on the selected channel to make them have sufficient robustness. At this time, the location of the feature points extracted on the corresponding channel can be used as the watermark embedding position. Finally, considering the influence of geometric attacks such as affine transformation, this paper proposes a reconstruction algorithm based on Delaunay triangle, which uses feature point information to reconstruct the image before the watermark extraction, and extract the watermark on the reconstructed image. The effect of watermark extraction has been improved. © Published under licence by IOP Publishing Ltd.

关键词： Image reconstruction

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Exploiting transmission lines on heterogeneous networks-on-chip to improve the adaptivity and efficiency of cache coherence 15

Exploiting transmission lines on heterogeneous networks-on-c...

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9th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2015

作者： Hu, Qi Liu, Peng Huang, Michael C. Xie, Xiang-Hui College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Dept. of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214125 China

ISBN: (纸本)9781450333962

Emerging heterogeneous interconnects have shown lower latency and higher throughput, which can improve the efficiency of communication and create new opportunities for memory system designs. In this paper, transmission lines are employed as a latency-optimized network and combined with a packet-switched network to create heterogeneous interconnects improving the efficiencies of on-chip communication and cache coherence. We take advantage of this heterogeneous interconnect design, and keep cache coherence adaptively based on data locality. Different type of messages are adaptively directed through selected medium of the heterogeneous interconnects to enhance cache coherence effectiveness. Compared with a state-of-the-art coherence mechanism, the proposed technique can reduce the coherence overhead by 24%, reduce the network energy consumption by 35%, and improve the system performance by 25% on a 64-core system. Copyright is held by the owner/author(s).

关键词： Heterogeneous networks

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A security routing model based on trust for medical sensor networks

A security routing model based on trust for medical sensor n...

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International Conference on Communication Software and Networks, ICCSN

作者： Yan Gao Wenfen Liu Zhengzhou Institute of Information Science and Technology State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Zhengzhou Institute of Information Science and Technology State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479919857

With the development of medical sensor networks, the security has becomes an important issue. In this paper, a security routing model based on trust is proposed for medical sensor networks. To measure the credibility of each path from the source master node to the base station, a calculation method with Tsallis entropy is put forward on the basis of trust values of intermediate master nodes in the path. With the properties of Tsallis entropy, path Tsallis entropy can comprehensively reflect the uncertainty of all the intermediate nodes in each path. Based on this, the trust value of each path is obtained. Therefore the path with the maximum trust value is selected to transfer the data from the multiple paths. Simulation experiments show that the proposed model enables the transfer to effectively avoid such paths containing the low-trust nodes, so that the packet successful delivery rate has a great improvement and the ability against malicious attacks is also enhanced.

关键词： Routing Entropy Base stations Security Medical diagnostic imaging Wireless sensor networks Wireless communication

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