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Fingerprint Liveness Detection Based on Multi-Scale LPQ and PCA

China Communications 2016年第7期13卷 60-65页

作者： Chengsheng Yuan Xingming Sun Rui Lv School of Computer and Software Nanjing University of Information Science & Technology Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology

Fingerprint authentication system is used to verify users' identification according to the characteristics of their ***,this system has some security and privacy *** example,some artificial fingerprints can trick the fingerprint authentication system and access information using real users' ***,a fingerprint liveness detection algorithm needs to be designed to prevent illegal users from accessing privacy *** this paper,a new software-based liveness detection approach using multi-scale local phase quantity(LPQ) and principal component analysis(PCA) is *** feature vectors of a fingerprint are constructed through multi-scale *** technology is also introduced to reduce the dimensionality of the feature vectors and gain more effective ***,a training model is gained using support vector machine classifier,and the liveness of a fingerprint is detected on the basis of the training *** results demonstrate that our proposed method can detect the liveness of users' fingerprints and achieve high recognition *** study also confirms that multi-resolution analysis is a useful method for texture feature extraction during fingerprint liveness detection.

关键词： fingerprint liveness detection wavelet transform local phase quantity principal component analysis support vector machine

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Steganalysis of LSB Matching Using Characteristic Function Moment of Pixel Differences

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China Communications 2016年第7期13卷 66-73页

作者： Xianyi Chen Guangyong Gao Dandan Liu Zhihua Xia Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologySchool of Computer and SoftwareNanjing University of Information Science & Technology School of Information Science & Technology Jiujiang University

Nowadays,many steganographic tools have been developed,and secret messages can be imperceptibly transmitted through public *** paper concentrates on steganalysis against spatial least significant bit(LSB) matching,which is the prototype of many advanced information hiding *** existing algorithms deal with steganalysis problems by using the dependencies between adjacent *** another aspect,this paper calculates the differences among pixel pairs and proves that the histogram of difference values will be smoothed by stego *** calculate the difference histogram characteristic function(DHCF) and deduce that the moment of DHCFs(DHCFM) will be diminished after stego bits are hidden in the ***,we compute the DHCFMs as the discriminative *** calibrate the features by decreasing the influence of image content on them and train support vector machine classifiers based on the calibrated *** results demonstrate that the DHCFMs calculated with nonadjacent pixels are helpful to detect stego messages hidden by LSB matching.

关键词： information hiding steganalysis pixel differences nonadjacent pixels SVM

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Attacks and Improvement of Quantum Sealed-Bid Auction with EPR Pairs

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Communications in Theoretical Physics 2014年第6期61卷 686-690页

作者：刘文杰王芳季赛瞿治国王小军 Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer and Software Nanjing University of Information Science & Technology School of Electronic Engineering Dublin City University

Recently, an experimentally feasible three-party quantum sealed-bid auction protocol based on EPR pairs [Z.Y. Wang, Commun. Theor. Phys. 54 （2010） 997] was proposed. However, this study points out Wang＇s protocol cannot resist some internal bidders＇ attacks, such as the Twiee-CNOT attack, the collusion attack. A malicious bidder can launch the Twice-CNOT attack to obtain the other＇s bid, or the dishonest auctioneer may collude with one bidder and help him/her win the action by changing his/her bid. For preventing against these attacks, a simple solution by using the QKD-based message encryption and a post-confirmation mechanism by adopting the hash function are proposed.

关键词： quantum sealed-bid auction EPR pairs twice-CNOT attack collusion attack improvement

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Cryptanalysis and Improvement of Quantum Private Comparison Protocol Based on Bell Entangled States

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Communications in Theoretical Physics 2014年第8期61卷 210-214页

作者：刘文杰刘超陈汉武李志强刘志昊 Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer and Software Nanjing University of Information Science & Technology School of Computer Science and Engineering Southeast University College of Information Engineering Yangzhou University

Recently, Liu et al. [Commun. Theor. Phys. 57(2012) 583] proposed a quantum private comparison protocol based on entanglement swapping of Bell states, which aims to securely compare the equality of two participants' information with the help of a semi-honest third party(TP). However, the present study points out there is a fatal loophole in Liu et al.'s protocol, and TP can make Bell-basis measurement to know all the participants' secret inputs without being detected. To fix the problem, a simple solution, which uses one-time eavesdropper checking with decoy photons instead of twice eavesdropper checking with Bell states, is demonstrated. Compared with the original protocol,it not only reduces the Bell states consumption but also simplifies the protocol steps.

关键词： quantum private comparison Bell states entanglement swapping TP’s measurement attack improvement

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Twice-Hadamard-CNOT attack on Li et al.＇s fault-tolerant quantum private comparison and the improved scheme

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Frontiers of physics 2015年第2期10卷 73-78页

作者：季赛王芳刘文杰袁晓敏 Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science & Technology Nanjing 210044 China

Recently, Li et al. presented a two-party quantum private comparison scheme using Greenberger-- Horne-Zeitinger （GHZ） states and error-correcting code （ECC） lint. J. Theor. Phys. 52, 2818 （2013）], claiming it is fault-tolerant and could be performed in a non-ideal scenario. However, there ex- ists a fatal loophole in their private comparison scheme under a special attack, namely the twice- Hadamard-CNOT attack. Specifically, a malicious party may intercept the other party＇s particles and execute Hadamard operations on the intercepted particles as well as on his or her own particles. Then, the malicious party could sequentially perform a controlled-NOT （CNOT） operation between intercepted particles and the auxiliary particles, as well as between his or her own particles and the auxiliary particles prepared in advance. By measuring the auxiliary particles, the secret input will be revealed to the malicious party without being detected. For resisting this special attack, a feasible improved scheme is proposed by introducing a permutation operator before the third party （TP） sends the particle sequences to each participant.

关键词： quantum private comparison GHZ state twice-Hadamard-CNOT attack improvedscheme

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Attribute-Based Access Control Scheme with Efficient Revocation in Cloud Computing

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China Communications 2016年第7期13卷 92-99页

作者： Zhihua Xia Liangao Zhang Dandan Liu Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer and Software Nanjing University of Information Science & Technology Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology

Attribute-based encryption(ABE) supports the fine-grained sharing of encrypted *** some common designs,attributes are managed by an attribute authority that is supposed to be fully *** concept implies that the attribute authority can access all encrypted data,which is known as the key escrow *** addition,because all access privileges are defined over a single attribute universe and attributes are shared among multiple data users,the revocation of users is inefficient for the existing ABE *** this paper,we propose a novel scheme that solves the key escrow problem and supports efficient user ***,an access controller is introduced into the existing scheme,and then,secret keys are generated corporately by the attribute authority and access ***,an efficient user revocation mechanism is achieved using a version key that supports forward and backward *** analysis proves that our scheme is secure and efficient in user authorization and revocation.

关键词： access control ABE efficient revocation removing escrow cloud computing

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A Novel Steganography Algorithm Based on Instance Segmentation

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computers, Materials & Continua 2020年第4期63卷 183-196页

作者： Ruohan Meng Qi Cui Zhili Zhou Chengsheng Yuan Xingming Sun School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Centre of Network Monitoring Nanjing210044China Department of Electrical and Computer Engineering University of WindsorWindsorCanada

Information hiding tends to hide secret information in image area where is rich texture or high frequency,so as to transmit secret information to the recipient without affecting the visual quality of the image and arousing *** take advantage of the complexity of the object texture and consider that under certain circumstances,the object texture is more complex than the background of the image,so the foreground object is more suitable for steganography than the *** the basis of instance segmentation,such as Mask R-CNN,the proposed method hides secret information into each object's region by using the masks of instance segmentation,thus realizing the information hiding of the foreground object without *** method not only makes it more efficient for the receiver to extract information,but also proves to be more secure and robust by experiments.

关键词： Steganography object detection mask R-CNN irregular region

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Long short term memory model for analysis and forecast of PM2.5 4th

Long short term memory model for analysis and forecast of PM...

引用

4th International Conference on Cloud Computing and Security, ICCCS 2018

作者： Yan, Leiming Zhou, Min Wu, Yaowen Yan, Luqi Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9783030000059

Atmospheric PM2.5 is a pollutant that has a major impact on the atmospheric environment and human health. Based on LSTM, we construct two prediction models, Stack LSTM and Encoder-Decoder, and evaluate the prediction performance of the model through four years of meteorological data training and testing models in Nanjing, Beijing, and Sanya. In the experiment, using the meteorological factors, contaminant factors, seasonal factors, and the normalized results of PM2.5 as input, the daily average PM2.5 concentration is predicted from 1 to 3 days. Experimental results show that the LSTM model has better performance than Random Forest and Encoder-Decoder. Using Nanjing as an example, comparing the forecast results of Nanjing PM2.5 with the data released by the environmental authorities, it is found that the value of the PM2.5 concentration predicted by the LSTM model is very close to the value of PM2.5 monitored by Nanjing’s environmental authorities. In prediction of PM2.5 for three consecutive days, the Root Mean Square Error (RMSE) of the LSTM model is only 18.96. Under the LSTM model, the prediction result of the three cities are better than other prediction models, which shows that the LSTM model has a good adaptability in predicting the PM2.5 concentration. © Springer Nature Switzerland AG 2018.

关键词： Long short-term memory

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Extracting regular behaviors from social media networks

Extracting regular behaviors from social media networks

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3rd International Conference on Multimedia Information networking and Security, MINES 2011

作者： Yan, Leiming Wang, Jinwei School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9780769545592

Social media network analysis has become very popular in recent years. How do real networks evolve over time? What are the normal evolving behaviors in a social media network? In order to extract behaviors occurring regularly to reveal the microscopic evolving properties in social networks, the evolving process of networks is modeled as stochastic states transition, and the evolving behaviors are described as topological structure changes of a series of sub graphs. Then, based on Maximal Frequent Sub graph mining technology, RB Miner (Regular Behaviors Miner) algorithm is proposed to identify such regular behaviors in network dataset. The empirical evaluation using both synthetic and real dataset verifies that the proposed algorithm is valid, and the regular behavior patterns show more dynamic information hidden in evolving social networks than normal frequent sub graph patterns. © 2011 IEEE.

关键词： Miners

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Illumination invariant and face recognition based on homomorphic filtering and LoG operator1

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International Journal of Advancements in Computing Technology 2012年第21期4卷 17-24页

作者： Fan, Chun-Nian Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China

In order to eliminate the effect of varying illumination on face recognition, a novel illumination invariant method based on homomorphic filtering and LoG operator is proposed. The method first performs homomorphic filtering on image under various lighting conditions, whose key component is a Difference of Gaussian (DoG) filter, which can effectively reduce the effect of varying illumination. Then a LoG operator is used for illumination invariant extraction. Experimental results on the Yale face database B and CMU PIE database show that the proposed method can effectively eliminate the effect of varying illumination on face recognition, and the extracted illumination invariant is robust.

关键词： Face recognition

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