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Speaker and Language Recognition Workshop, Odyssey 2016

作者： Jin, Ma Song, Yan McLoughlin, Ian Dai, Li-Rong Ye, Zhong-Fu National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China China School of Computing University of Kent Medway United Kingdom State Key Laboratory of Mathematical Engineering and Advanced Computing China

A key problem in spoken language identification (LID) is how to effectively model features from a given speech utterance. Recent techniques such as end-to-end schemes and deep neural networks (DNNs) utilising transfer learning such as bottleneck (BN) features, have demonstrated good overall performance, but have not addressed the extraction of LID-specific features. We thus propose a novel end-to-end neural network which aims to obtain effective LID-senone representations, which we define as being analogous to senones in speech recognition. We show that LID-senones combine a compact representation of the original acoustic feature space with a powerful descriptive and discriminative capability. Furthermore, a novel incremental training method is proposed to extract the weak language information buried in the acoustic features of insufficient language resources. Results on the six most confused languages in NIST LRE 2009 show good performance compared to state-of-the-art BN-GMM/i-vector and BN-DNN/i-vector systems. The proposed end-to-end network, coupled with an incremental training method which mitigates against over-fitting, has potential not just for LID, but also for other resource constrained tasks. © Odyssey 2016: Speaker and Language Recognition Workshop. All rights reserved.

关键词： Deep neural networks

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A survey on federated learning:a perspective from multi-party computation

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Frontiers of Computer Science 2024年第1期18卷 93-103页

作者： Fengxia LIU Zhiming ZHENG Yexuan SHI Yongxin TONG Yi ZHANG Institute of Artificial Intelligence and Key Laboratory of Mathematics Informatics Behavioral Semantics Beihang UniversityBeijing 100191China State Key Laboratory of Software Development Environment and Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang UniversityBeijing 100191China Pengcheng Laboratory Shenzhen 518055China Zhongguancun Laboratory Beijing 100190China Institute for Mathematical Sciences and Engineering Research Center of Financial Computing and Digital Engineering Renmin University of ChinaBeijing 100872China

Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their raw *** enhance privacy in federated learning,multi-party computation can be leveraged for secure communication and computation during model *** survey provides a comprehensive review on how to integrate mainstream multi-party computation techniques into diverse federated learning setups for guaranteed privacy,as well as the corresponding optimization techniques to improve model accuracy and training *** also pinpoint future directions to deploy federated learning to a wider range of applications.

关键词： sfederated learning multi-party ycomputation privacy-preserving data mining distributed learning

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Simulation detection based on single photon quantum key distribution protocol

Simulation detection based on single photon quantum key dist...

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2020 International Conference on Electronics, Communications and Information Technology, CECIT 2020

作者： Liu, X.N. Hu, C.C. Yin, M.J. Jin, L. School of Information Engineering Zhengzhou University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China School of Cyberspace and Security Information Engineering University Zhengzhou China

With the continuous development of quantum communication in recent years, quantum key distribution (QKD) has also become a key technology in the field of quantum communication. Due to the limitation of physical resources and experimental conditions, the effectiveness of different communication protocols cannot be accurately analyzed. To solve this problem, a protocol simulation method is proposed, BB84 and B92 protocols are simulated and analyzed on a classic computer by this method. On the Eclipse IDE Developers platform, the simulation program of the quantum communication protocol was written using Java language, the simulation process under the ideal environment and the eavesdropping environment was analyzed with emphasis. The simulation results show that the key distribution efficiency of BB84 is about 50% without eavesdroppers, which is much higher than 25% of B92, and the key distribution efficiency under eavesdropping conditions is about 25% and 18%. The experimental results are consistent with theoretical expectations, verifying the correctness of the protocol simulation, and also proving the feasibility of using computers for quantum communication protocol simulation. © Published under licence by IOP Publishing Ltd.

关键词： Computer software

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Research on General Permutation Encryption Module Based on Chaos Theory

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International Journal of Technology Management 2014年第7期 58-61页

作者： Sun Wenjie State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 102206

Replacement and substitution encryption are two basic types of encryption historically. The classical encryption algorithm has been compromised now, but they still can play special role for modem cryptnlogy. For example, in digital image encryption system, substitution can disrupt the original order of the images and eliminate the correlation of image information which not only can realize security of images, but also can resist intentional attack and destruction of clipping and noise. And transposition transformation is introduced into the design of block ciphers. The substitution has the feature of high efficiency and resistance, which makes it meet the specific requirements of encryption. So substitution cypher can be applied to modern encryption system.

关键词： chaos theory general substitution encryption.

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Research on Stream Cipher Model Based on Chaos Theory

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International Journal of Technology Management 2013年第2期 91-93页

作者： Sun Wenjie State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 102206

Chaos is a similar and random process which is very sensitive to initial value in deterministic system. It is a performance of nonlinear dynamical system with built-in randomness. Combined with the advantages and disadvantages of the present chaos encryption model, the paper proposes a chaotic stream cipher model based on chaos theory, which not only overcomes finite precision effect, but also improves the randomness of chaotic system and output sequence. The Sequence cycle theory generated by the algorithm can reach more than 10600 at least, which completely satisfies the actual application requirements of stream cipher system.

关键词： chaos theory stream cipher algorithm

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Method based on GSCPN for network vulnerability analysis

Journal of Software

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Journal of Software 2013年第8期8卷 2032-2038页

作者： Gao, Xiang Zhu, Yue-Fei Fei, Jin-Long Han, Tao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450002 China

With the development of network security research, network attack modeling and analysis techniques have been paid more and more attention. A generalized stochastic colored Petri Net (GSCPN) Model is proposed. To each attack, a GSCPN model is constructed to describe the relation of components graphically. Algorithm to construct a composite attack and method for network vulnerability analysis are delivered also. The exploitation cost of vulnerabilities is estimated. The method is relatively simple, which is different from traditional method. The network example further validates the proposed method for network vulnerability analysis. © 2013 ACADEMY PUBLISHER.

关键词： Network security

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Identification of mobile device threats based on PCA-fused neural network

Boletin Tecnico/Technical Bulletin

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Boletin Tecnico/Technical Bulletin 2017年第3期55卷 278-285页

作者： Chu, Sijun Wu, Hao Lu, Yulin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China

To monitor and identify whether a mobile device is under threat or at risk effectively, in this paper, we summarize feature data from threat information of common mobile devices and set up an identification model of mobile device threats based on PCA-fused BP neural network. When extracting features from raw sample data, we consider primary vector information of all training samples. While more than 95% of the information in raw data is reserved, interference information in the data is eliminated and the robustness of the BP network model built subsequently is optimized. Finally, the trained model is tested and compared with other model algorithms. Results show that the overall identification accuracy of the proposed model algorithm reaches 91%. The identification accuracy of test samples reaches 90.4%. Compared with previous identification models, it has higher identification accuracy.

关键词： Neural networks

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A WeChat user geolocating algorithm based on the relation between reported and actual distance 1

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9th International Symposium on Cyberspace Safety and Security, CSS 2017

作者： Shi, Wenqi Luo, Xiangyang Zhao, Fan Peng, Ziru Gan, Yong State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China

ISBN: (数字)9783319694719

ISBN: (纸本)9783319694702

The accuracy of existing geolocation methods for WeChat users depends on the stable correspondence between reported distance and actual distance. In view of the difficulty to pinpoint users’ location in real-world due to WeChat location protection strategy, a WeChat User geolocating Algorithm based on reported and actual distance relation analysis is proposed. Firstly, statistical characteristics of the relation between reported distance and actual distance are obtained based on collected data. Secondly, optimization parameters are selected based on these characteristics to determine the space where the target user is located. Finally, stepwise strategies are taken to improve the accuracy rate of space partition. Experimental results show that, on the premise that target users can be discovered, the proposed algorithm could achieve higher accuracy compared with the classical space partition based algorithm and the heuristic number theory based algorithm. The highest geolocating accuracy is within 10 m and 56% of geolocation results are within 60 m. © 2017, Springer International Publishing AG.

关键词： Number theory

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Improved Impossible Polytopic Attacks on Round-reduced des 4

Improved Impossible Polytopic Attacks on Round-reduced des

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2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Wang, Jing Wu, Qianqiong Fu, Chaohui Zhou, Guomiao Duan, Ming State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450000 China College of Electrical Engineering and Automation Luoyang Institute of Science and Technology Luoyang Henan471000 China

In Eurocrypt 2016, Tyge Tiessen introduced the d-difference which considering the differences between multiple plaintexts, and proposed the impossible polytopic attack on block cipher which effectively reducing the data complexity. In this paper, we improve the impossible polytopic attacks of round-reduced DES by some ideas like truncated differentials. Given the input 3-difference of each S-box in the third round, the number of the output 3-difference is actually smaller than the theoretical upper bound, which helps us reduce the memory complexity of the attack on 5-round DES from 212 bytes to 26.9 bytes and increase the success rate of the attack. Using the idea of truncated differentials, the time complexity of the attack on 6-round DES is reduced from 232.2 encryptions to 225.8 encryptions by selecting the output 3-differences of 6 S-boxes for key recovery. We also improve the attack on 7-round DES by using more plaintexts based on our improved attack on 6-round DES. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Gears

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PS-HOMO: A Protection Scheme for iOS SMS 4

PS-HOMO: A Protection Scheme for iOS SMS

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2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Zhou, Guomiao Wu, Qianqiong Duan, Ming Xi, Qi State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450000 China Institute of Electrical Engineering and Automation Luoyang Institute of Science and Technology Luoyang Henan471000 China

iOS Short Message Service (SMS) transmits messages in plaintext, which would lead to potential security threats of data. It is meaningful to design a safe and effective SMS. In this paper, all iOS Security Guides are referred to and all the cryptographic algorithms in iOS data protection are analyzed. Because there is no homomorphic encryption, a library of homomorphic encryption algorithms for iOS based on RSA and Paillier is developed. Using this library, a protection scheme PS-HOMO for protecting iOS SMS data is proposed and implemented. Under the premise of ensuring the data confidentiality, PS-HOMO also has the function of ciphertext operation due to the multiplicative homomorphism of RSA and additive homomorphism of Paillier. A comprehensive performance test was performed on PS-HOMO. The results show that the performance is in line with our expectations and will not have a major impact on the original system. The security of PS-HOMO is theoretically analyzed from man-in-the-middle attack, replay attack, and traffic analysis attack. Two application scenarios of the PS-HOMO, remote anonymous voting and privacy telemedicine service are envisaged. We hope PS-HOMO would play a significant role in privacy protection. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Cryptography

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