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arXiv 2017年

作者： Zhao, Yijia Zhang, Yichen Xu, Bingjie Yu, Song Guo, Hong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication System and Network School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

The method of improving the performance of continuous-variable quantum key distribution protocols by post-selection has been recently proposed and verified. In continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) protocols, the measurement results are obtained from untrusted third party Charlie. There is still not an effective method of improving CV-MDI QKD by the post-selection with untrusted measurement. We propose a method to improve the performance of coherent-state CV-MDI QKD protocol by virtual photon subtraction via non-Gaussian post-selection. The non-Gaussian post-selection of transmitted data is equivalent to an ideal photon subtraction on the two-mode squeezed vacuum state, which is favorable to enhance the performance of CV-MDI QKD. In CV-MDI QKD protocol with non-Gaussian post-selection, two users select their own data independently. We demonstrate that the optimal performance of the renovated CV-MDI QKD protocol is obtained with the transmitted data only selected by Alice. By setting appropriate parameters of the virtual photon subtraction, the secret key rate and tolerable excess noise are both improved at long transmission distance. The method provides an effective optimization scheme for the application of CV-MDI QKD protocols. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum cryptography

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Research on trusted bootstrap based on the universal smart card 7th

Research on trusted bootstrap based on the universal smart c...

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7th International Conference on the Theory, Technologies and Applications of Trusted Systems, INTRUST 2015

作者： Yan, Lin Zhang, Jianbiao College of Computer Science Beijing University of Technology Beijing China Beijing Key Laboratory of Trusted Computing Beijing China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing China

ISBN: (纸本)9783319315492

The trusted boot is a hot spot in trusted computing field. User’s identity authentication and trusted measurement are used to deal with security threats. But it is difficult to implement the general trusted boot based on hardware, which can be bypassed easily by software. In order to solve the above problem, a scheme of trusted boot is presented based on the universal smart card. It does not change the hardware and the firmware of the smart card and the terminal device. The core method combines user’s identity authentication with trusted measurement. It binds user’s identity, smart card and terminal device to ensure the trusted boot of terminal device. The trusted computing mechanism can be extended from power on to the application layer. Ultimately, experiments prove the security of boot and simplification of the implementation. © Springer International Publishing Switzerland 2016.

关键词： Smart cards

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RbacIP: A RBAC-based method for intercepting and processing malicious applications in android platform 7th

RbacIP: A RBAC-based method for intercepting and processing ...

引用

7th International Conference on the Theory, Technologies and Applications of Trusted Systems, INTRUST 2015

作者： Lin, Li Ni, Jian Hu, Jian Zhang, Jianbiao College of Computer Science Beijing University of Technology Beijing China Beijing Key Laboratory of Trusted Computing Beijing China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing China

ISBN: (纸本)9783319315492

With the rapid development of Android-based smart phones and pads, android applications show explosive growth. Because third-party application market regulation is lax, many normal applications are embedded malicious code and then many security issues occur. The existing antivirus software cannot intercept malicious behaviors from those repackaged applications in many cases. To solve these problems, we propose a new method called RbacIP, which integrates RBAC into intercept and disposal process of malicious android applications. In RbacIP, the malicious behaviors of applications are monitored by inserting Linux kernel function call dynamically. Exploiting the Netlike technology, the information of malicious behaviors are feedback from the kernel layer to the user layer. On the user layer, depending on the roles assigned, android applications are authorized to the corresponding permissions. According to the characteristics of RBAC, it can achieve the minimum authorization for malicious applications. Meanwhile, to balance the user experience and his privacy protection needs, users are allowed to make fine-grained decision based on RBAC policy, rather than permit or prohibit. Finally, we implemented RbacIP in real android platform. Comprehensive experiments have been conducted, which demonstrate the effectiveness of the proposed method by the comparison with traditional HIPS systems at the malicious programs detection performance and resource consumption. © Springer International Publishing Switzerland 2016.

关键词： Android (operating system)

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A novel RNN-GBRBM based feature decoder for anomaly detection technology in industrial control network

A novel RNN-GBRBM based feature decoder for anomaly detectio...

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作者： Zhang, Hua Zhu, Shixiang Ma, Xiao Zhao, Jun Shou, Zeng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications 100876 China Data Network of Power Dispatch Safety Protection of Electric Power Supervisory Control System State Gird Jiangsu Electric Power Company Shanghai Road No 215 Nanjing Jiangsu210024 China Safety Protection of Electric Power Supervisory Control System NARI Group Corporation No. 19 Chengxin Rd Jiangning Nanjing Jiangsu211000 China Dispatching Data Network and Secondary Safty Protection Electric Power Science Research Institute State Gird Jiangsu Electric Power Company Jiangning Paweier Road No 1 Nanjing Jiangsu211103 China

As advances in networking technology help to connect industrial control networks with the Internet, the threat from spammers, attackers and criminal enterprises has also grown accordingly. However, traditional network Intrusion Detection System makes significant use of pattern matching to identify malicious behaviors and have bad performance on detecting zero-day exploits in which a new attack is employed. In this paper, a novel method of anomaly detection in industrial control network is proposed based on RNN-GBRBM feature decoder. The method employ network packets and extract high-quality features from raw features which is selected manually. A modified RNN-RBM is trained using the normal traffic in order to learn feature patterns of the normal network behaviors. Then the test traffic is analyzed against the learned normal feature pattern by using osPCA to measure the extent to which the test traffic resembles the learned feature pattern. Moreover, we design a semi-supervised incremental updating algorithm in order to improve the performance of the model continuously. Experiments show that our method is more efficient in anomaly detection than other traditional approaches for industrial control network. Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.

关键词： Pattern matching

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QoE Assessment and Prediction Method for HighDefinition Video Stream Using Image Damage Accumulation

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China Communications 2016年第7期13卷 48-59页

作者： Yang Geng Luoming Meng Yao Wang Yu Yang Zhiguo Qu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Global Energy Interconnection Research Institute Nanjing 210003China Information Security Center Beijing University of Posts and TelecommunicationsBeijing 100876China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China

The accuracy of the traditional assessment method of the quality of experience(Qo E) has been facing challenges with the growth of high-definition(HD) video streaming *** display-quality damage is the main factor that affects the Qo E in HD video services through UDP network *** this paper,we introduce a novel objective factor known as image damage accumulation(IDA) to assess user's Qo E in HD video ***,this paper quantitatively analyzed the effect on user quality of experience by IDA and established a mapping relationship between mean opinion scores and ***,the probability of image damage caused by compression and transmission were *** on this analysis,an objective Qo E assessment and prediction method for HD video stream service that evaluated the user experience according to IDA are *** proposed method can achieve assessment and prediction accuracy on three distinct subjective tests.

关键词： high-definition video stream quality of experience（QoE） image damage accumulation

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A Performance Evaluation of Classification Algorithms for Big Data

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Procedia Computer Science 2017年 122卷 1100-1107页

作者： Mo Hai You Zhang Yuejin Zhang School of Information Central University of Finance and Economics Beijing China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China School of Information Systems &Management Heinz College Carnegie Mellon University Pittsburgh PA 1521 USA

The performance of two typical classification algorithms in Spark: random forest and naïve bayes are evaluated by using four metrics: classification accuracy, speedup, scaleup and sizeup. Experiments are performed on dataset and clusters of different scale. The results show that: (1) the accuracy of the two algorithms is high; (2) the increase of speedup is not linear. For the dataset with different size, the numbers of nodes is different when the speedup is the maximal; (3) the scaleup of random forest reaches its peak when the number of nodes is 2, and after that the scaleup decreases with the increase of the number of nodes;(4) for random forest, when the number of nodes is 2, the sizeup increases sharply with the increase of the size of dataset, and when the number of nodes is greater than 2, the sizeup increases more slowly with the increase of the size of dataset; for naïve bayes, when the number of nodes is smaller than 6, the sizeup increases with the increase of the size of dataset, when number of nodes is 6 and the size of dataset is larger than that of Sogou_5, the change of the sizeup is not obvious with the increase of the size of dataset.

关键词： Spark Random forest Naïve bayes Classification accuracy Speedup Scaleup Sizeup

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An application-oriented efficient encapsulation system for trusted software development 7th

An application-oriented efficient encapsulation system for t...

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7th International Conference on the Theory, Technologies and Applications of Trusted Systems, INTRUST 2015

作者： Tao, Zheng Hu, Jun Zhan, Jing Li, Mo Chen, Chunzi College of Computer Science Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China

ISBN: (纸本)9783319315492

Trusted computing provides an efficient and practical way out for system security problems based on a trusted hardware, namely the root of trust, e.g., Trusted Platform Module (TPM), Trusted Cryptographic Module (TCM), Trusted Platform Control Module (TPCM), so on and so forth. However, current applications calling for trusted functions have to use either the user-space trusted interfaces (e.g., Trusted Software Stack (TSS) API) or to implement customized APIs on top of the trusted hardware driver;both of them are well known of steep learning curve, which indicates error prone and low-efficient development and complex maintenance for the application of trusted software. This paper presents a new trusted encapsulation architecture and the proof of-concept system with the aim to mitigate the gap between the current obscure trusted APIs and the actual trusted applications for trusted software development. Our system can provide high-level and much simplified trusted transaction interfaces for user applications, which can rapidly reduce the development and maintenance work for the developers and users without too much performance costs. We also present a secure remote login use-case using mainly the binding and unbinding trusted functions of our trusted encapsulation architecture. © Springer International Publishing Switzerland 2016.

关键词： Trusted computing

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Angle-domain doppler pre-compensation for high-mobility OFDM uplink with a massive ULA

arXiv

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arXiv 2017年

作者： Guo, Wei Zhang, Weile Mu, Pengcheng Gao, Feifei Yao, Bobin MOE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an China Tsinghua National Laboratory for Information Science and Technology Beijing China School of Electronic and Control Engineering Chang'an University Xi'an China

In this paper, we propose a Doppler pre-compensation scheme for high-mobility orthogonal frequency division multiplexing (OFDM) uplink, where a high-speed terminal transmits signals to the base station (BS). Considering that the time-varying multipath channel consists of multiple Doppler frequency offsets (DFOs) with different angle of departures (AoDs), we propose to perform DFO pre-compensation at the transmitter with a large-scale uniform linear array (ULA). The transmitted signal passes through a beamforming network with high-spatial resolution to produce multiple parallel branches. Each branch transmits signal towards one direction thus it is affected by one dominant DFO when passing over the time-varying channel. Therefore, we can compensate the DFO for each branch at the transmitter previously. Theoretical analysis for the Doppler spread of the equivalent uplink channel is also conducted. It is found that when the number of transmit antennas is sufficiently large, the time-variation of channel can be efficiently suppressed. Therefore, the performance will not degrade significantly if applying the conventional time-invariant channel estimation and equalization methods at the receiver. Simulation results are provided to verify the proposed scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： Frequency allocation

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Exploiting Meta-Path with Attention Mechanism for Fine-Grained User Location Prediction in LBSNs

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Journal of Physics: Conference Series 2019年第1期1284卷

作者： Zhixiao Wang Wenyao Yan Wendong Wang Ang Gao Lei Yu Shaobo Yang GaoYang Nie School of Computer Science and Engineering Xi'an University of Technology 710048 Xi'an China Telematics Group the University of Goettingen 37077 Goettingen Germany Shaanxi Key Laboratory of Network Computing and Security 710048 Xi'an China School of Electronic and Information Engineering Xi'an Jiaotong University 710048 Xi'an China College of Xi'an Innovation Yan'an University 710100 Xi'an China Yan'an University Yan'an 716000 China National Satellite Meteorological Center China Meteorological Administration Beijing 100081 China

Based on the huge volumes of user check-in data in LBSNs, users' intrinsic mobility patterns can be well explored, which is fundamental for predicting where a user will visit next given his/her historical check-in records. As there are various types of nodes and interactions in LBSNs, they can be treated as Heterogeneous Information network (HIN) where multiple semantic meta-paths can be extracted. Inspired by the recent success of meta-path context based embedding techniques in HIN, in this paper, we design a deep neural network framework leveraging various meta-path contexts for fine-grained user location prediction. Experimental results based on two real-world LBSN datasets demonstrate the best effectiveness of the proposed approach using various evaluation metrics than others.

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A novel quantum image compression method based on JPEG

arXiv

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arXiv 2017年

作者： Wang, Jian Jiang, Nan Zhao, Na School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Department of Computer Science Purdue University West Lafayette47907 United States Department of Chemistry Purdue University West Lafayette47907 United States College of Computer Science Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China

Quantum image processing has been a hot topic. The first step of it is to store an image into qubits, which is called quantum image preparation. Different quantum image representations may have different preparation methods. In this paper, we use GQIR (the generalized quantum image representation) to represent an image, and try to decrease the operations used in preparation, which is also known as quantum image compression. Our compression scheme is based on JPEG (named from its inventor: the Joint Photographic Experts Group) — the most widely used method for still image compression in classical computers. We input the quantized JPEG coefficients into qubits and then convert them into pixel values. Theoretical analysis and experimental results show that the compression ratio of our scheme is obviously higher than that of the previous compression method. Copyright © 2017, The Authors. All rights reserved.

关键词： Image compression

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