本期目录

2016年 23卷 3期 刊出日期：2016-06-28



Artificial Intelligence

A secure oblivious transfer protocol from indistinguishability obfuscation

Yuan Zheng, Wang Mei, Feng Xiao

中国邮电高校学报(英文), 2016, 23 (3). doi： 10.1016/S1005-8885(16)60026-2

摘要 ( 3635 ) PDF (475 KB)( 305 )

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This paper propose a new secure oblivious transfer protocol from indistinguishability obfuscation. The main technical tool in this paper is the candidate indistinguishability obfuscation introduced recently and a dual-mode cryptosystem.. Following their steps, a new k-out-of-l oblivious transfer protocol is presented here, and its realization from DDH is described in this paper, in which we combined indistinguishability obfuscation with the dual-mode cryptosystem. The security of our scheme mainly relies on the indistinguishability of the obf-branches(corresponding to the two modes in dual-mode model). Our paper explores a new way for the application of indistinguishability obfuscation.

Improved lattice-based ring signature schemes from basis delegation

Gao Wen, Hu Yupu, Wang Baocang, Xie Jia

中国邮电高校学报(英文), 2016, 23 (3). doi： 10.1016/S1005-8885(16)60027-4

摘要 ( 3815 ) PDF (442 KB)( 392 )

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Ring signature enables the members to sign anonymously without a manager, it has many online applications, such as e-voting, e-money, whistle blowing etc. As a promising post-quantum candidate, lattice-based cryptography attracts much attention recently. Several efficient lattice-based ring signatures have been naturally constructed from lattice basis delegation, but all of them have large verification key sizes. Our observation finds that a new concept called the split-SIS problem introduced by Nguyen et al. at PKC’15 is excellent in reducing the public key sizes of lattice-based ring signature schemes from basis delegation. In this research, we first define an extended concept called the extended split-SIS problem, and then prove that the hardness of the extended problem is as hard as the approximating SIVP problem within certain polynomial factor. Moreover, we present an improved ring signature and prove that it is anonymous and unforgeable against the insider corruption. Finally, we give two other improved existing ring signature schemes from lattices. In the end, we show the comparison with the original scheme in terms of the verification key sizes. Our research data illustrate that the public key sizes of the proposed schemes are reduced significantly.

Attribute-based encryption resilient to continual auxiliary leakage with constant size ciphertexts

Zhang Leyou, Zhang Jingxia, Hu Yupu

中国邮电高校学报(英文), 2016, 23 (3). doi： 10.1016/S1005-8885(16)60028-6

摘要 ( 3475 ) PDF (487 KB)( 303 )

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For leakage-resilient ciphertext-policy attribute-based encryption (CP-ABE) at present, the size of the ciphertexts in most of them relies on the number of attributes. How to overcome this shortcoming is a challenge problem. Based on the Goldreich-Levin theorem and dual system encryption, an efficient CP-ABE scheme with constant size ciphertexts is proposed in this paper. It can tolerate leakage on master secret key and attribute-based secret keys with auxiliary inputs. Furthermore, the proposed scheme can be realized as resilience against continual leakage if keys are periodically updated. Under some static assumptions instead of other strong assumptions, the introduced scheme achieves adaptively security in the standard model.

User abnormal behavior analysis based on neural network clustering

Zheng Ruijuan, Chen Jing, Zhang Mingchuan, Zhu Junlong, Wu Qingtao

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3447 ) PDF (441 KB)( 333 )

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It is the premise of accessing and controlling cloud environment to establish the mutual trust relationship between users and clouds. How to identify the credible degree of the user identity and behavior becomes the core problem? This paper proposes a user abnormal behavior analysis method based on neural network clustering to resolve the problems of over-fitting and flooding the feature information, which exists in the process of traditional clustering analysis and calculating similarity. Firstly, singular value decomposition (SVD) is applied to reduce dimension and de-noise for massive data, where Map-Reduce parallel processing is used to accelerate the computation speed, and neural network model is used for softening points. Secondly, information entropy is added to hidden layer of neural network model to calculate the weight of each attribute. Finally, weight factor is used to calculate the similarity to make the cluster more accuracy. For the problem of analyzing the mobile cloud user behaviors, the experimental results show that the scheme has higher detection speed and clustering accuracy than traditional schemes. The proposed method is more suitable for the mobile cloud environment.

Wireless

Interference-Aware resource allocation algorithm in multicarrier-based cognitive radio networks

Zhuang Ling, Ma Long

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3051 ) PDF (743 KB)( 284 )

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Interference between users is a significant issue for resource allocation in cognitive radio (CR) networks. The interference induced by the secondary users (SUs) to the primary users (PUs) derives from two aspects: 1) out-of-band leakage (OOBL), 2) spectrum sensing error (SSEs). Filter bank multicarrier (FBMC) has small out-of-band leakage and high spectral efficiency in comparison with that of the orthogonal frequency division multiplexing (OFDM). In this paper, a resource allocation algorithm with considering spectrum sensing errors in CR networks is proposed. The interference model is established first and then the proposed algorithm is divided into two steps, power is allocated to SUs under both interference constraints and total power budget. Simulation results based on FBMC and OFDM systems show that the proposed algorithm causes less interference to the PUs than that of algorithm without considering OOBL, the performance of FBMC in interference and throughput is better than OFDM in CR networks.

Interference Cancellation Scheme Using Codeword Space Alignment over three-user Y Channel

Yang Dong, Tian Xinji

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 2975 ) PDF (399 KB)( 267 )

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We investigate how to cancel interference by using space time code and codeword space alignment for MIMO Y channel consisting of three users and a relay. All the nodes adopt Alamouti code. During the multiple access stage, two codewords within each reciprocal codeword pair are aligned through pre-coding. The relay decodes the elements of each codeword pair using the orthogonal property of effective channel matrix of Alamouti codeword. During the broadcast stage, the interference between codeword pairs at each user is eliminated by the orthogonal property of effective channel matrix of Alamouti codeword, instead of the interference alignment pre-coding. Thus, channel state information is not required during the broadcast stage, which greatly reduce the amount of feedback.

Secrecy Outage Analysis on Underlay Cognitive Radio Using Selective Combining

Tan Youyu, Pan Gaofeng, Zhao Hui

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3102 ) PDF (421 KB)( 278 )

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Securing data transmission in future high-capacity high-coverage multi-tier hierarchical networks for which cognitive radio has emerged as an essential recipe, is of utmost importance. This paper investigates the secrecy outage performance of selection combining (SC) in cognitive radio networks (CRNs) over Rayleigh fading channels. We consider the cognitive wiretap system consisting of a single antenna transmitter (Alice) and a multiple antenna receiver (Bob) equipped with ( ) antennas in the presence of a passive eavesdropper (Eve) equipped with ( ) antennas. Compared to the work proposed by Maged Elkashlan et al. in [1], we present an alternative method to derive the closed-form expression for the secrecy outage probability (SOP) and develop a simplified SOP when the maximal transmit power at the secondary user is large enough. Our results reveal the impact of the primary network on the secondary network with a muti-antenna wiretap channel and simulations are conducted to validate the accuracy of our proposed analytical models.

Network

Resource Allocation Scheme Based on Game Theory in Heterogeneous Networks

Wu Yalong, Li Xi, Zhang Heli, Wang Ke

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3695 ) PDF (778 KB)( 813 )

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A User-level Model for Emotion Prediction in Social Networks

Wang Qiyao, Li Zhengmin, Jin Yuehui, Cheng Shiduan, Yang Tan

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3004 ) PDF (1132 KB)( 272 )

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Users express their emotions in online social networks (OSNs). Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion to predict target emotion. In this study, public sentiment is introduced to denote the sentiment of the majority in the network. Public conformity is calculated to measure the degree of a user conforming to the public sentiment. According to the public conformity, users are categorized into three classes: approvers, independents, and starters. A user-level model for emotion prediction is proposed to predict target emotions of different classes of users, taking into account of the public sentiment, individual sentiment, friend sentiment and pseudo-friend sentiment. Relations between the public conformity and the structure of the network are studied. Experiments conducted on Sina Weibo show that the proposed model could achieve performance improvements to some existing methods in most cases.

Fine-grained analysis of cellular smartphone usage characteristics based on massive network traffic

Gui Xiaolin, Liu Jun, Li Chenyu, Lü Qiujian, Lei Zhenming

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3437 ) PDF (1648 KB)( 1205 )

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智能手机用户的增长导致移动网络流量爆炸式的增长。理解移动网络流量的特征对于运营商网络资源的优化很重要。本文从手机操作及手机生产厂商的维度对蜂窝网络中的HTTP流量特征进行了细致的分析。首先，我们提出了基于概率的方法来识别安装在每一台智能手机中的操作系统。然后，基于一个持续了31天的数据（一个计费周期），我们从操作系统及手机生产厂商维度对智能手机的流量特征进行分析。最后，我们识别每一台手机中安装的应用，并且从操作系统及手机生产厂商维度比较了应用使用特征。我们的研究为运营商对蜂窝数据网络制定通信资费以及资源分配提供了参考。

Others

Numerical simulation and experiment validation on lightning-induced effects of a special vehicle

Zhou Ping, Lü Yinghua, Tao Yong, Xu Hongping

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3008 ) PDF (1642 KB)( 307 )

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First-feed LSTM model for video description

Wang Yue, Wang Xiaojie, Mao Yuzhao

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3157 ) PDF (819 KB)( 253 )

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Video description aims to automatically generate descriptive natural language for videos. With its successful implementations and a broad range of applications, lots of work based on Deep Neural Network (DNN) models have been put forward by researchers. This paper takes inspiration from an image caption model and develops an end-to-end video description model using Long Short-Term Memory (LSTM). Single video feature is fed to the first unit of LSTM decoder, and subsequent words of sentence are generated on previous predicted words. Experimental results on two publicly available datasets demonstrate that the performance of the proposed model outperforms that of baseline.

Performance measurement of adaptive optics system based on Strehl ratio

Wang Liang, Chen Tao, Lin Xudong, Wei Peifeng, Liu Xinyue, Jia Jianlu

中国邮电高校学报(英文), 2016, 23 (3). doi：

摘要 ( 3037 ) PDF (855 KB)( 285 )

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In this article, a method for measuring the performance of adaptive optics (AO) systems is designed and validated by experiments. The Strehl ratio (SR) which is based on the target images is used to evaluate the performance quantitatively because it relates to the effect of AO correction directly. In the calculation of the SR, to avoid energy scaling in the diffraction-limited point spread function, an algorithm based on the integral of the optical transfer function is adopted. Then, a 97-element AO system is established to validate this method, and a white-light fiber source is used as a point-like target. To simulate the practical conditions which influence the performance of the AO system, targets of different brightness are simulated in terms of different signal-to-noise ratios (SNR) of the Shack-Hartmann (SH), and atmospheric turbulence is simulated in terms of the Fried's coherence length and the Greenwood's frequency. Finally, two experiments are conducted in which the SR of different simulated conditions are measured. The results of the experiments show that for a moderate SNR of SH the experimenting AO system is capable of wavefront correction when the Fried's coherence length is larger than 5cm and the Greenwood's frequency is lower than 60Hz. The results also show that the performance of AO is susceptible to the SNR of SH. The experiments validates the effectiveness of this method.