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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 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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An effective scheme for biometric cryptosystems 2

An effective scheme for biometric cryptosystems

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2nd IEEE International Conference on computer and Communications, ICCC 2016

作者： Zhou, Yu Zhao, Bo Han, Jin Jun, Zheng School of Computer Science and Software Engineering East China Normal University Shanghai China School of Software and Microelectronics Peking University Beijing China Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology China

ISBN: (纸本)9781467390262

Compared with traditional cryptography, biometric cryptosystems provide more convenient and safe protection of keys. In this paper, an effective scheme for biometric cryptosystems based on the intersections of hyper-plane and hashed discrete space is proposed. Only genuine feature vectors, which are located on the hyper-plane, find the correct solution. Several tricks are provided to ensure the security of proposed scheme. Experiments have shown that our method achieved approximate performance compared with one of the latest methods based on fuzzy vault. However, our method is less complex than fuzzy vault based methods. © 2016 IEEE.

关键词： Cryptography

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Classification based on brain storm optimization algorithm 11th

Classification based on brain storm optimization algorithm

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Xue, Yu Tang, Tao Ma, Tinghuai Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China

ISBN: (纸本)9789811036101

As one of the important issues of data classification, classification has attracted the attention of many researchers in the field of data mining. Different from clustering research issues, in classification research issues, evolutionary clustering algorithms (EAs) were only used to improve the performance of classifiers either by optimizing the parameters or structure of the classifiers, or by pre-processing the inputs of the classifiers. Lots of evolutionary algorithms are employed to solve unsupervised classification, i.e., clustering. In this article, we will create a new mathematical model for supervised classification problem and use brain storm optimization algorithm (BSO) to search the global optimal solution, which resolved the problem of supervised classification with new ideas. The main objective is to find a better method. By using a new classification algorithm based on BSO, we are looking forward to optimizing the result. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Storms

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Multi-objective layout optimization of a satellite module using the Wang-Landau sampling method with local search

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Frontiers of Information Technology & Electronic engineering 2016年第6期17卷 527-542页

作者： Jing-fa LIU Liang HAO Gang LI Yu XUE Zhao-xia LIU Juan HUANG Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science&TechnologyNanjing 210044China School of Computer&Software Nanjing University of Information Science&TechnologyNanjing 210044China School of Mathematics and Statistics Nanjing University of Information Science&TechnologyNanjing 210044China Office of lnformationization Construction and Management Nanjing University of Information Science&TechnologyNanjing 210044China

The layout design of satellite modules is considered to be NP-hard. It is not only a complex coupled system design problem but also a special multi-objective optimization problem. The greatest challenge in solving this problem is that the function to be optimized is characterized by a multitude of local minima separated by high-energy barriers. The Wang-Landau(WL) sampling method, which is an improved Monte Carlo method, has been successfully applied to solve many optimization problems. In this paper we use the WL sampling method to optimize the layout of a satellite module. To accelerate the search for a global optimal layout, local search(LS) based on the gradient method is executed once the Monte-Carlo sweep produces a new layout. By combining the WL sampling algorithm, the LS method, and heuristic layout update strategies, a hybrid method called WL-LS is proposed to obtain a final layout scheme. Furthermore, to improve significantly the efficiency of the algorithm, we propose an accurate and fast computational method for the overlapping depth between two objects(such as two rectangular objects, two circular objects, or a rectangular object and a circular object) embedding each other. The rectangular objects are placed orthogonally. We test two instances using first 51 and then 53 objects. For both instances, the proposed WL-LS algorithm outperforms methods in the literature. Numerical results show that the WL-LS algorithm is an effective method for layout optimization of satellite modules.

关键词： Packing Layout design Satellite module Wang-Landau algorithm

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