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Noisy component extraction with reference

Frontiers of Computer Science 2013年第1期7卷 135-144页

作者： Yongjian ZHAO Hong HE Jianxun Mi School of Information Engineering Shandong University Weihai 264209 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Key Laboratory of Network Oriented Intelligent Computation Shenzhen 518055 China

Blind source extraction （BSE） is particularly at- tractive to solve blind signal mixture problems where only a few source signals are desired. Many existing BSE methods do not take into account the existence of noise and can only work well in noise-free environments. In practice, the desired signal is often contaminated by additional noise. Therefore, we try to tackle the problem of noisy component extraction. The reference signal carries enough prior information to dis- tinguish the desired signal from signal mixtures. According to the useful properties of Gaussian moments, we incorporate the reference signal into a negentropy objective function so as to guide the extraction process and develop an improved BSE method. Extensive computer simulations demonstrate its validity in the process of revealing the underlying desired signal.

关键词： blind signal processing reference signal Gaus- sian moments negentropy objective function biomedical signal measure performance index

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Cryptanalysis and improvement of a dynamic ID based remote user authentication scheme using smart cards

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Journal of Computational Information Systems 2013年第14期9卷 5513-5520页

作者： Xu, Chengbo Jia, Zhongtian Wen, Fengtong Ma, Yan School of Mathematical Sciences University of Jinan Jinan 250022 China Institute of Network Technology Research Beijing University of Posts and Telecommunications Beijing 100876 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan 250022 China

Recently, Lee, Lai and Li proposed a dynamic identity based remote user authentication scheme using smart card to remedy the weaknesses of Lee-Lin-Chang's scheme. However, we find that Lee-Lai-Li's scheme is still insecure and vulnerable to offline dictionary attack. Besides, the scheme suffers from low efficiency in wrong password detection process and password change phase. To eliminate these weaknesses, we propose an improved scheme. Through comparative analysis, we illustrate that our proposed scheme is more secure and simultaneously keeps low cost. 1553-9105/Copyright © 2013 Binary Information Press.

关键词： Authentication

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GramFuzz: Fuzzing testing of web browsers based on grammar analysis and structural mutation

GramFuzz: Fuzzing testing of web browsers based on grammar a...

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2013 2nd International Conference on Informatics and Applications, ICIA 2013

作者： Guo, Tao Zhang, Puhan Wang, Xin Wei, Qiang China Information Technology Security Valuation Center Beijing China State Key Laboratory of Mathematical Engineerning and Advanced Computing Zhenzhou China

ISBN: (纸本)9781467352550

Fuzz testing is an automated black-box testing technique providing random data as input to a software system in the hope to find vulnerability. In order to be effective, the fuzzed input must be common enough to pass elementary consistency checks. Web Browser accepts JavaScript, CSS files as well as the html as input, which must be considered in fuzzing testing, while traditional fuzzing technology generates test cases using simple mutation strategies, ignoring the grammar and code structure. In this article, vulnerability patterns are summarized and a new fuzzing testing method are proposed based on grammar analysis of input data and mutation of code structure. Combining methods of generation and mutation, test cases will be more effective in the fuzzing testing of web browsers. Applied on the Mozilla and IE web browsers, it discovered a total of 36 new severe vulnerabilities(and thus became one of the top security bug bounty collectors within this period). © 2013 IEEE.

关键词： Web browsers

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A Watermarking Scheme based on NSCT Using Computer-Generated Hologram

A Watermarking Scheme based on NSCT Using Computer-Generated...

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International Conference on Information technology and Management Innovation (ICITMI2012)

作者： Yang, Xiaoyuan Yang, Haibin Luo, Peng Key Laboratory of Network and Information Security Chinese Armed Police Force Department of Electronic Technology Engineering University of Armed Police Force China Institute of Network and Information Security Chinese Armed Police Force Department of Electronic Technology Engineering University of Armed Police Force China

ISBN: (纸本)9783037855744

A robust watermarking scheme that used computer-generated holograms as the watermark is in NSCT (NonSampled Contourlet Transform) domain was proposed. To maintain imperceptibility and robustness, a repeated embedding algorithm is adopted to embed the mark hologram into the low-frequency subband of the NSCT host image. Compared with other watermark schemes using digital holograms, the proposed algorithm has the obvious advantage in robustness The experimental results demonstrated that the proposed method had good robustness to resist common attacks such as, rotation, scaling, translation, image flipping, combined attacks, filtering, occlusion, cropping, and JPEG compression.

关键词： Watermarking NonSampled Contourlet Transform Computer-generated Hologram Robustness

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Visual saliency detection based on photographic composition 13

Visual saliency detection based on photographic composition

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

作者： Chen, Jingjing Zhao, Handong Han, Yahong Cao, Xiaochun School of Computer Science and Technology Tianjin University China State Key Laboratory of Information Security Chinese Academy of Sciences China Tianjin Key Laboratory of Cognitive Computing and Application China

ISBN: (纸本)9781450322522

Visual saliency detection and segmentation are widely used in many applications in image processing and computer vision. However, existing saliency detection methods have not fully taken the spatial information of salient regions into account. Inspired by the basic photographic composition rules, we present a novel saliency detection method, which utilizes the knowledge of photographic composition as priors to improve the saliency detection results. Moreover, an online parameter selection method is proposed when utilizing GrabCut to achieve the saliency segmentation result. We test our method on the 1000 benchmark test images and dataset MSRA. Extensive experimental results show the applicability and effectiveness of our method. © 2013 ACM.

关键词： Image enhancement

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The face tracking research based on cam-shift and improved NMI

The face tracking research based on cam-shift and improved N...

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2013 5th International Conference on Computational and Information Sciences, ICCIS 2013

作者： Dong, Jiwen Zhao, Lei Zhang, Liang Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan 250022 China

ISBN: (纸本)9780769550046

In order to take the complex background interference and real-time requirements into account, the experience apply NMI feature and Cam-Shift feature space on face tracking. By secondary search on the feature space of NMI human eye's feature and Cam-Shift emplacement space, the experience improve the accuracy of face identified location, adding Upper and lower line for improving calculate speed of characteristics of the human eye in NMI feature space leads to improve the accuracy of face detection. Experiments show that the method is real-time and effective. © 2013 IEEE.

关键词： Cams

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Face recognition algorithm based on kernel collaborative representation

Face recognition algorithm based on kernel collaborative rep...

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3rd International Conference on Materials Science and Information technology, MSIT 2013

作者： Zhang, Liang Dong, Ji Wen Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan 250022 China

ISBN: (纸本)9783037857700

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting face's nonlinear structures features, the decisive factor. Considering the collaboration among the samples, the CRC which synthetically consider the relationship among samples is used. Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency. The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition. © (2013) Trans Tech Publications, Switzerland.

关键词： Face recognition

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An Image Steganography Based on Multi-Layered Syndrome-Trellis Codes in DWT Domain

An Image Steganography Based on Multi-Layered Syndrome-Trell...

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第三十二届中国控制会议

作者： YANG Xiaoyuan GUO Duntao LI Jun Key Laboratory of Network & Information Security under the Chinese Armed Police Force Electronic DepartmentEngineering College of the Armed Police Force Institute of Network & Information Security under the Chinese Armed Police Force Department of Electronic TechnologyEngineering University of Armed Police Force

ISBN: (纸本)9781479900305

A good method to improve the security of Steganography System is to embed messages by minimizing a sum of per-pixel distortions and the near-optimal codes for this minimization problem is the Syndrome-Trellis Codes(STCs).This paper will use the non-binary embedding operations with Multi-Layered Syndrome-Trellis Codes(ML-STCs) to design image steganography method instead of simply binary embedding operation with ***,a distortion function in discrete wavelet transform domain was designed according to human visual system and integer lifting wavelet transform,which mainly concerned about the influences of frequency,luminance and texture masking factor to the cover *** then,the Multi-Layered Syndrome-Trellis Codes was combined with the distortion function to propose the steganography method,so make sure that the embedding impact to the cover minimizing and centralize in un-sensitivity *** results show that the proposed approach maintains a good visual quality of stego-image and have a high security against steganalysis in space and wavelet domain.

关键词： Image Steganography Multi-Layered Syndrome-Trellis Codes(ML-STCs) Discrete Wavelet Transform(DWT) Non-binary Embedding

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Visible light texture image classification using Gabor and LBP feature

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Journal of Computational Information Systems 2013年第21期9卷 8415-8422页

作者： Zhu, Qi Wang, Yaowu Li, Chunshan Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen 518055 China Key Laboratory of Urban Planning and Decision-Making Simulation Harbin Institute of Technology Shenzhen Graduate School Shenzhen 518055 China E-Business and Intelligent Enterprise Computing Research Center Harbin Institute of Technology Shenzhen Graduate School Shenzhen 518055 China

LBP and Gabor wavelets are two widely used and successful local image representation methods. This paper presents the visible light texture image classification method simultaneously using Gabor and Local Binary Patterns (LBP) features. We design two kinds of feature fusion methods using the two types of the representations, which are performed in feature level and matching score level, respectively, and successfully applied them to visible light texture image classification. The proposed method is reasonable, because the Gabor and LBP features provide complementary description of the visible light texture image. Experiment results on MIT texture database demonstrate the effectiveness of our method. © 2013 Binary Information Press.

关键词： Local binary pattern

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Time evolving graphical password for securing mobile devices 13

Time evolving graphical password for securing mobile devices

引用

8th ACM SIGSAC Symposium on Information, Computer and Communications security, ASIA CCS 2013

作者： Wang, Zhan Jing, Jiwu Li, Liang State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781450317672

Increasingly widespread use of mobile devices for processing monetary transactions and accessing business secrets has created a great demand on securing mobile devices. Poorly designed authentication mechanisms (e.g., screen lock and SIM card lock) on mobile devices either make users feel a hassle to lock the devices, or are vulnerable to attacks, such as shoulder surfing and smudge attack. In this paper, we propose a new login option for unlocking mobile devices called Time-Evolving Graphical Password (TEGP), which improves the strength of the password gradually over time by evolving the distortion degree of the images in the challenge portfolio without changing the pass images. By taking advantage of the extraordinary human ability to recall images, TEGP authenticates users by asking them to recognize the pass images which are transformed from the images uploaded by the user at registration. To achieve desired security and remain the usability, we present two metrics, Information Retention Rate (IRR) and Password Diversity Score (PDS), to advise the selection and distortion of the pass images and decoy images. Our experimental results show the memorability from the perspective of users, and the ability of TEGP to defend against various attacks. © 2013 ACM.

关键词： Edge detection

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