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作者： Zhang, Yue Luo, Xiangyang Wang, Jinwei Yang, Chunfang Liu, Fenlin State Key Laboratory of Mathematical Engineering and Advanced Computing China School of Computer and Software Nanjing University of Information Science and Technology China Zhengzhou Science and Technology Institute China

The current image steganography algorithms mainly focus on the anti-detectability rather than the robustness to scaling attacks. Therefore, it is difficult to extract the secret messages correctly after stego images subject to scaling attacks. To this end, an image steganography method for the nearest-neighbor interpolation method in image scaling is proposed, which can resist both scaling attack and statistical detection. First, the principle of nearest-neighbor interpolation method is analyzed and summarized, which is using the resized pixel coordinates to find the original adjacent pixels, and obtaining the weights of the adjacent original pixels by the distance between resized pixel and the original adjacent pixels, finally calculating the resized pixel value. Second, the scaling invariant pixels are extracted using the principle of nearest-neighbor interpolation method to generate a new cover image. Then the distortion functions in WOW, S-UNIWARD and MiPOD are used to calculate the new cover’s distortion to minimize the distortion embedding using STCs coding. Finally, resize the stego image to the original size. The steganalysis experiments based on BossBase-1.01 image library and SPAM, maxSRM features demonstrate that the proposed method has good resistance of scaling attack and Statistical detection under various scaling factors and payloads. © 2018 Taiwan Academic Network Management Committee. All rights reserved.

关键词： Pixels

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Analysis of GLV/GLS method for elliptic curve scalar multiplication 6th

Analysis of GLV/GLS method for elliptic curve scalar multipl...

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6th International Conference on Frontier computing, FC 2017

作者： Dou, Yunqi Weng, Jiang Ma, Chuangui Wei, Fushan State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information and Navigation College Air Force Engineering University Xi’an China Department of Basic Army Aviation Institution Beijing China

ISBN: (纸本)9789811073977

GLV method is an important research direction to accelerate the scalar multiplication on classes of elliptic curves with efficiently computable endomorphisms, which can reduce the number of doublings by using Straus-Shamir simultaneous multi-scalar multiplication technique. Researchers explore to generalize the method to higher dimension, and then evaluate the effect of accelerating the scalar multiplication. In this paper, we consider various multi-scalar multiplication algorithms, and analyze the computational cost of scalar multiplication under different dimensions to select the optimal multi-scalar multiplication algorithm and parameters. On this basis, the multi-scalar multiplication algorithm is applied to the GLV method, and the computational cost of scalar multiplication is analyzed. Higher dimension usually means fewer doublings, but more precomputation, there is a trade-off. The analysis results show that the limit of GLV method to accelerate the scalar multiplication is dimension 8, and the GLV method will lose its effect of speedup for higher dimension. In particular, dimension 3 or 4 may be the optimal choice for the case that resource constrained or the cost of endomorphism is large. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Economic and social effects

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A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean

arXiv

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arXiv 2022年

作者： Ye, Z.P. Hu, F. Tian, W. Chang, Q.C. Chang, Y.L. Cheng, Z.S. Gao, J. Ge, T. Gong, G.H. Guo, J. Guo, X.X. He, X.G. Huang, J.T. Jiang, K. Jiang, P.K. Jing, Y.P. Li, H.L. Li, J.L. Li, L. Li, W.L. Li, Z. Liao, N.Y. Lin, Q. Lin, J. Liu, F. Liu, J.L. Liu, X.H. Miao, P. Mo, C. Morton-Blake, I. Peng, T. Sun, Z.Y. Tang, J.N. Tang, Z.B. Tao, C.H. Tian, X.L. Wang, M.X. Wang, Y. Wang, Y. Wei, H.D. Wei, Z.Y. Wu, W.H. Xian, S.S. Xiang, D. Xu, D.L. Xue, Q. Yang, J.H. Yang, J.M. Yu, W.B. Zeng, C. Zhang, F.Y.D. Zhang, T. Zhang, X.T. Zhang, Y.Y. Zhi, W. Zhong, Y.S. Zhou, M. Zhu, X.H. Zhuang, G.J. Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China School of Physics and Astronomy Shanghai Jiao Tong University MOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China Department of Astronomy School of Physics Peking University Being 100871 China State Key Laboratory of Ocean Engineering School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sanya Yazhou Bay Institute of Deep Sea Technology Sanya572024 China Center for High Energy Physics Peking University Beijing100871 China Department of Engineering Physics Tsinghua University Beijing100084 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Shanghai Key Lab of Electrical Insulation and Thermal Aging School of Chemistry and Chemical Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Marine Ecosystem Dynamics Second Institute of Oceanography MNR Hangzhou310012 China Kavli Institute for Astronomy and Astrophysics Peking University Bejing100871 China Center for High Performance Computing Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China School of Oceanography Shanghai Jiao Tong University Shanghai200030 China Key Laboratory of Submarine Geosciences Second Institute of Oceanography MNR Hangzhou310012 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China MOE Key Laboratory for Laser Plasmas School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Shanghai200240 China Zhangjiang Institute for Advanced Study

Next-generation neutrino telescopes with significantly improved sensitivity are required to pinpoint the sources of the diffuse astrophysical neutrino flux detected by IceCube and uncover the century-old puzzle of cosmic ray origins. A detector near the equator will provide a unique viewpoint of the neutrino sky, complementing IceCube and other neutrino telescopes in the Northern Hemisphere. Here we present results from an expedition to the north-eastern region of the South China Sea, in the western Pacific Ocean. A favorable neutrino telescope site was found on an abyssal plain at a depth of ∼ 3.5 km. At depths below 3 km, the sea current speed, water absorption and scattering lengths for Cherenkov light, were measured to be vc © 2022, CC BY-NC-ND.

关键词： Cosmic rays

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Improvement in Diversify Active Defense for Web Application by Using Language and Database Heterogeneity 11

Improvement in Diversify Active Defense for Web Application ...

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2017 11th IEEE International Conference on Anti-counterfeiting,Security,and Identification(ASID)

作者： Weichao Li Zheng Zhang Liqun Wang State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781538605349;9781538605332

According to OWASP selected web application Top 10 vulnerabilities in 2013 and 2017,structured query language(SQL)injection is consistently ranked the 1 ***,the protection of SQL injection,which is one of the most prevalent and pernicious security issues,requires ***,there are numerous unknown vulnerabilities and potential threats in *** this case,the active defense based on structural diversity can play an effective role to prevent the hacker from exploiting known or unknown *** on the basis of structural diversity,we propose a modified method,heterogeneous language,combined with heterogeneous database in data storage layer,to establish an active defense model for data *** empirically assess the impact of the vulnerability and conclude by testing the accuracy and performance,showing that our security model can not suffer from the same vulnerability as the unprotected ***,the future work and research direction are discussed.

关键词： Cyberspace security Active defence Heterogeneity Web application Database SQL labeling

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Text clustering algorithm based on deep representation learning

Text clustering algorithm based on deep representation learn...

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作者： Wang, Binyu Liu, Wenfen Lin, Zijie Hu, Xuexian Wei, Jianghong Liu, Chun State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541000 China

Text clustering is an important method for effectively organising, summarising, and navigating text information. However, in the absence of labels, the text data to be clustered cannot be used to train the text representation model based on deep learning. To address the problem, an algorithm of text clustering based on deep representation learning is proposed using the transfer learning domain adaptation and the parameters update during cluster iteration. First, source domain data is used to perform the pre-training of the deep learning classification model. This procedure acts as an initialisation of the model parameters. Then, the domain discriminator is added to the model, to domain-divide the input sample. If the discriminator cannot distinguish which domain the data belongs to, the common feature space of two domains is obtained, so the domain adaptation problem is solved. Finally, the text feature vectors obtained by the model are clustered with MCSKM++ algorithm. The algorithm not only resolves the model pre-training problem in unsupervised clustering, but also has a good clustering effect on the transfer problem caused by different numbers of domain labels. Experiments suggest that the clustering accuracy of the algorithm is superior to other similar algorithms. © 2018 Institution of engineering and Technology. All rights reserved.

关键词： Iterative methods

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Image Classification for Malware Detection using Extremely Randomized Trees 11

Image Classification for Malware Detection using Extremely R...

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2017 11th IEEE International Conference on Anti-counterfeiting,Security,and Identification(ASID)

作者： Xin Zhou Jianmin Pang Guanghui Liang State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781538605349;9781538605332

With the development of machine learning and computer vision, we combined the image classification and malware detection in this work. Based on the technology of image classification, we achieved the detection of malware, using machine learning. In our work, we visualized the malware as a grayscale image and extracted texture features by Gabor filter. Depend on machine learning, we used extremely randomized trees as the classification and 10-fold cross validation to value it. Compared with GBDT, KNN and RF, experimental results are quite impressive with the accuracy rate of 96.19% and the recall rate of 97.51% on a malware database of 15,781 samples.

关键词： component malware image classification machine learning extremely randomized trees

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Research and Implementation of Reconfigurable Architecture of DES and ZUC 2

Research and Implementation of Reconfigurable Architecture o...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Yuhan Chen Xuehui Du Wei Xiao Haiyang Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing

Reconfigurable cipher chip has become a research hotspot because of its flexibility, security and good resource utilization. At present, research of reconfigurable cipher chip usually focuses on the s

ISBN: (纸本)9781467389808

关键词： Erbium

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Bintaint: A Static Taint Analysis Method for Binary Vulnerability Mining

Bintaint: A Static Taint Analysis Method for Binary Vulnerab...

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International Conference on Cloud computing, Big Data and Blockchain (ICCBB)

作者： Zenan Feng Zhenyu Wang Weiyu Dong Rui Chang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728112787

Vulnerabilities in the current network space has been increasingly concerned by all parties. More and more software is currently in the form of binary code in practical applications. Therefore, the research on vulnerability mining technology for binary code attracts more attention from the researchers. In order to address the problem of binary vulnerability mining, this paper focuses on the taint analysis, and proposes a method called Bintaint, which can perform static taint analysis and generate the taint control flow graph (TCFG). In addition, we implement a system based on Bintaint to reduce the path explosion in the traditional vulnerability analysis process. Combined with our bidirectional search technology and path guidance algorithm to assist the symbol execution technology to generate test cases, the high computational overhead caused by complex constraints can be reduced. Finally, we evaluate our method on X86 programs and six core programs in different architecture embedded devices, and the result shows that our method detect all known vulnerability without false negative and mitigates the problem of path explosion and computational overhead effectively.

关键词： Decoding Data mining Explosions Tools Pollution Software Flow graphs

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

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

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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

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

ISBN: (纸本)9781538665664;9781538665657

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.

关键词： Microprogramming Security Hardware Protocols Reliability Standards Read only memory

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On s-uniform property of compressing sequences derived from primitive sequences modulo odd prime powers

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Science China(Information Sciences) 2017年第5期60卷 84-95页

作者： Yupeng JIANG Qun-Xiong ZHENG Dongdai LIN State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Information Science and Technology Institute

Let Z/（p;） be the integer residue ring modulo pewith p an odd prime and e 2. We consider the suniform property of compressing sequences derived from primitive sequences over Z/（p;）. We give necessary and sufficient conditions for two compressing sequences to be s-uniform with α provided that the compressing map is of the form φ(x;, x;,..., x;) = g(x;) + η(x;, x;,..., x;), where g(x;) is a permutation polynomial over Z/（p） and η is an（e-1）-variable polynomial over Z/（p）.

关键词： compressing map linear recurring sequence primitive sequence permutation polynomial s uniform

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