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Fingerprint Liveness Detection from Different Fingerprint Materials Using Convolutional Neural network and Principal Component Analysis

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computers, Materials & Continua 2017年第4期53卷 357-372页

作者： Chengsheng Yuan Xinting Li Q.M.Jonathan Wu Jin Li Xingming Sun School of Computer and Software Nanjing University of Information Science&TechnologyNing Liu RoadNo.219NanjingChina210044 Jiangsu Engineering Center of Network Monitoring Ning Liu RoadNo.219NanjingChina210044 Department of Electrical and Computer Engineering University of Windsor401 Sunset AvenueWindsorONCanada N9B 3P4 School of Computer Science Guangzhou UniversityYudongxi Road 36Tianhe DistrictGuangzhouChina510500

Fingerprint-spoofing attack often occurs when imposters gain access illegally by using artificial fingerprints,which are made of common fingerprint materials,such as silicon,latex,***,to protect our privacy,many fingerprint liveness detection methods are put forward to discriminate fake or true *** work on liveness detection for fingerprint images is focused on the construction of complex handcrafted features,but these methods normally destroy or lose spatial information between *** from existing methods,convolutional neural network(CNN)can generate high-level semantic representations by learning and concatenating low-level edge and shape features from a large amount of labeled ***,CNN is explored to solve the above problem and discriminate true fingerprints from fake ones in this *** reduce the redundant information and extract the most distinct features,ROI and PCA operations are performed for learned features of convolutional layer or pooling *** that,the extracted features are fed into SVM *** results based on the LivDet(2013)and the LivDet(2011)datasets,which are captured by using different fingerprint materials,indicate that the classification performance of our proposed method is both efficient and convenient compared with the other previous methods.

关键词： Fingerprint liveness detection CNNs PCA SVM ROI LivDet 2013 LivDet 2011

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Outsourced data modification algorithm with assistance of multi-assistants in cloud computing

Outsourced data modification algorithm with assistance of mu...

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作者： Shen, Jian Shen, Jun Li, Xiong Wei, Fushan Li, Jiguo Department of Jiangsu Engineering Center of Network Monitoring Jiangsu210044 China Technology and Engineering Center of Meteorological Sensor Network Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing Jiangsu210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China Hunan University of Science and Technology Hunan410082 China PLA Information Engineering University Henan450002 China Hohai University Nanjing210098 China

The rapid development of cloud storage has caused a wave of research craze. To improve cloud user experience, a large number of schemes are proposed with various practical performances, like long-term correct ensurence and dynamic support. In most works, however, authors seem to completely ignore that data owner alone could not have enough energy to discover and correct all inappropriate data outsourced. Others considered it and gave more than one user both read and write permissions, leading to chaotic management of multiusers. In this paper, we propose a novel algorithm, where data owner and authenticated assistants form a team to support data dynamics. Assistants are in charge of detecting problems of data and discussing a corresponding modification suggestion, while data owner is responsible for the implementation of the modification. Additionally, our algorithm supports identity authentication, malicious assistant revocation, and lazy update. Sufficient numerical analysis validates the performance of our algorithm. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Cloud storage

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A Multi-Objective Data Placement Method for IoT Applications Over Big Data Using NSGA-II

A Multi-Objective Data Placement Method for IoT Applications...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Xiaolong Xu Renhao Gu Yuan Yuan Kai Peng Yadang Chen Wanchun Dou Alex X. Liu Department of Computer Science and Engineering Michigan State University MI USA Jiangsu Engineering Centre of Network Monitoring Nanjing University of Information Science and Technology Nanjing China College of Engineering Huaqiao University Quanzhou Fujian China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

The Internet of Things has been developing fast since it connects various devices for human beings to use, monitor or configure these devices, which brings great convenience. Generally, the big data generated by the sensors of IoT applications needs to be collected, stored and processed to realize the services of such applications. For the execution of task from the IoT applications, it may need a variety of datasets for tasks to access and process. However, it is still a challenge to realize the data placement method when taking into account the resource utilization and the energy consumption in data centers along with the data access time for the task sets to access the datasets. In view of this challenge, a multi-objectives data placement method for IoT applications over big data is proposed in this paper. Technically, multi-objectives are analyzed first. Then a heuristic data placement method is designed based on Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.

关键词： Manganese Handheld computers Internet of Things Switches Green computing Social computing Blockchain

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An Energy-Aware Virtual Machine Scheduling Method for Cloudlets in Wireless Metropolitan Area networks

An Energy-Aware Virtual Machine Scheduling Method for Cloudl...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Xiaolong Xu Yuancheng Li Yuan Yuan Kai Peng Wenbin Yu Wanchun Dou Alex X. Liu Department of Computer Science and Engineering Michigan State University MI USA Jiangsu Engineering Centre of Network Monitoring Nanjing University of Information Science and Technology Nanjing China College of Engineering Huaqiao University Quanzhou Fujian China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

Currently, mobile applications, such as interactive gaming, virtual reality, and natural language processing, are becoming more computational intensive, but the computing capacity of mobile devices is limited. An effective way to solve this problem is offloading the tasks to nearby cloudlets, which are some small mobile data centers deployed in wireless metropolitan area network (WMAN). and consume a large amount of energy. Excessive energy consumption brings about some negative effects, including increased carbon dioxide emissions, aggravating the greenhouse effect, etc. In view of this challenge, we propose an energy-aware virtual machine (VM) scheduling method for cloudlets in WMAN. Technically, an optimization model is designed to formalize our problem. Then, based on VM Live Migration Technology, a corresponding energy saving VM scheduling method abbreviated as MFEA is proposed to determine which VMs should be migrated and where they should be migrated. Finally, experimental data demonstrate that the proposed method is effective.

关键词： Cloud computing Performance evaluation Energy consumption Internet of Things Green computing Social computing Blockchain

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A fibonacci based batch auditing protocol for cloud data 1

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

作者： Shen, Jian Shen, Jun Wang, Chen Wang, Anxi Jiangsu Engineering Center of Network Monitoring Nanjing China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (数字)9783319694719

ISBN: (纸本)9783319694702

As cloud storage is developing fast with time going by, the design of auditing protocols has caught a large number of researchers’ eyes. However, though most of the existing auditing protocols have considered batch auditing to save resources in the auditor side, the design of methods to locate the specific positions of the corrupted data blocks is ignored. In this paper, we propose a novel batch auditing protocol based on the Fibonacci sequence to save resources in the cloud, which is an extension of our previous work. Experimental results and numerical analysis indicate that the proposed scheme is efficient. © 2017, Springer International Publishing AG.

关键词： Cloud storage

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Fingerprint Liveness Detection Based on Multi-Scale LPQ and PCA

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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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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 QoS-based energy-aware task scheduling method in cloud environment

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Cluster Computing 2017年第4期20卷 3199-3212页

作者： Xue, Shengjun Zhang, Yiyun Xu, Xiaolong Xing, Guowen Xiang, Haolong Ji, Sai Jiangsu Engineering Center of Network Monitoring of Nanjing University of Information Science&Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

Currently, energy consumption for cloud data centers has attracted much attention from both industry and academia. Meanwhile, it is also important to satisfy the customers’ quality of service (QoS) for cloud service providers. However, it is still a challenge to achieve energy savings based on QoS during task scheduling. In this paper, a QoS-based energy-aware task scheduling method, named QET, in cloud environment is proposed to address the above challenge. Technically, an energy consumption model based on QoS is proposed for heterogeneous cloud environment. And a corresponding task scheduling method is designed to minimize the energy consumption through QoS-aware PM selection. Comprehensive experimental analysis is conducted to evaluate the efficiency and effectiveness of our proposed method.

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Security analysis of delegable and proxy provable data possession in public cloud storage

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Journal of computers (Taiwan) 2017年第4期28卷 23-30页

作者： Ren, Yong-Jun Shen, Jian Wang, Jin Fang, Li-Ming Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China School of Information Engineering Yangzhou University Yangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

Cloud storage is now an important development trend in information technology. However, information security has become an important problem to impede it for commercial application, such as data con-fidentiality, integrity, and availability. In this paper, we revisit the two private PDP schemes. We show that the property of correctness cannot be achieved when active adversaries are involved in these auditing systems. More specifically, an active adversary can arbitrarily tamper the cloud data and produce a valid auditing. Moreover, the malicious CSS can put the auditing right to entrust to anyone and control the delegation key and lead to the failure of the subsequent validation work. Finally, we propose a solution using key agreement to resolve the weakness. Our scheme is high efficiency due to removing expensive bilinear computing. Moreover, the verifier is stateless and independent from cloud storage server, which is an important secure property in PDP schemes.

关键词： Cloud storage

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