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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Zhangjie Fu Lin Xin Jin Wang Xingming Sun School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

Notice of Violation of IEEE Publication Principles "Data Access Control for Multi-Authority Cloud Storage Systems" by Zhangjie Fu, Lin Xin, Jin Wang, Xingming Sun in the Proceedings of the Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, August 2014, pp. 714-717 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper copies original content from the papers cited below. The original content was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission. "DAC-MACS: Effective Data Access Control for Multi-Authority Cloud Storage Systems" by Kan Yang, Xiaohua Jia, Kui Ren, Bo Zhang in the Proceedings of the IEEE INFOCOM, April 2013, pp. 2895-2903 "Secure Data Deletion from Persistent Media" by Joel Reardon, Hubert Ritzdorf, David Basin, Srdjan Capkun Proceedings of the ACM SIGSAC Conference on computer and Communications Security, 2013, pp. 271-284 "Policy-based Secure Deletion" by Christian Cachin, Kristiyan Haralambiev, Hsu-Chun Hsiao, Alessandro Sorniotti in the Proceedings of the ACM SIGSAC Conference on computer and Communications Security 2013, pp. 259-270 Ciphertext-Policy Attribute-based Encryption (CPABE) is one of the most suitable technologies for data access control in cloud storage systems. This paper firstly presents the Attribute-based Encryption (ABE), secure deletion and secret-sharing schemes. Then we construct a CP-ABE model using secret-sharing methods to insure its security. At last, we propose an improved scheme on Data Access Control for Multi-Authority Cloud Storage Systems DAC-MACS to insure the security of the central authority (CA).

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A new combination prediction model for short-term wind farm output power based on meteorological data collected by WSN

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第1期7卷 171-180页

作者： Ma, Li Li, Bo Yang, Zhen Bin Du, Jie Wang, Jin 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 Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China CMA Public Meteorological Service Centre Beijing 100081 China

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back Propagation (BP) neural network algorithm is respectively combined with genetic algorithm (GA) and particle swarm optimization (PSO) to establish the combination prediction model of the short-term wind farm output power based on meteorological data collected by Wireless Sensor network (WSN). The meteorological data is used to determine the input variables of the BP neural network. Meanwhile, the GA and the PSO is respectively used to adjust the value of BP's connection weight and threshold dynamically. Then the trained GA-BP and PSO-BP neural network are used to predict the wind power by combination method. The experiment results show that our method has better prediction capability compared with that using BP neural network, GA-BP neural network and PSO-BP neural network alone. © 2014 SERSC.

关键词： Wireless sensor networks

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A novel verifiably encrypted signature from weil pairing

A novel verifiably encrypted signature from weil pairing

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Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

作者： Shen, Jian Wang, Jin Zheng, Yuhui Zhang, Jianwei Wang, Shunfeng School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 210044 China College of Bin Jiang Nanjing University of Information Science and Technology Nanjing 210044 China

A novel efficient verifiably encrypted signature (VES) which makes use of the Weil pairing is presented in this paper. VES can be used in optimistic contract signing protocols to enable fair exchange. Compared with th... 详细信息

ISBN: (纸本)9789400772618

关键词： Public key cryptography

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Efficient key management scheme for SCADA system

Efficient key management scheme for SCADA system

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Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

作者： Shen, Jian Wang, Jin Ren, Yongjun Zhang, Jianwei Wang, Shunfeng School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 210044 China College of Bin Jiang Nanjing University of Information Science and Technology Nanjing 210044 China

ISBN: (纸本)9789400772618

Currently Supervisory Control And Data Acquisition (SCADA) system intends to be connected to the open operating environment. Thus, protecting SCADA systems from malicious attacks is getting more and more attention. A key management scheme is essential for secure SCADA communications. In this paper, we propose an efficient key management scheme for SCADA systems with good security properties and performance. © Springer Science+Business Media Dordrecht 2014.

关键词： SCADA systems

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Location-aware routing protocol for underwater sensor networks

Location-aware routing protocol for underwater sensor networ...

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Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

作者： Shen, Jian Wang, Jin Wang, Jingwei Zhang, Jianwei Wang, Shunfeng School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 210044 China College of Bin Jiang Nanjing University of Information Science and Technology Nanjing 210044 China

ISBN: (纸本)9789400772618

As the network communications technology developing, a new type of networks has appeared in the daily life which is named underwater sensor networks (UWSNs). Routing protocols in UWSNs should ensure the reliability of message transmission, not just decrease the delay. In this paper, we propose a novel routing protocol named Location-Aware Routing Protocol (LARP) for UWSNs, where the location information of nodes are used to help the transmission of the message. Simulation results show that the proposed LARP outperforms the existing routing protocols in terms of packet delivery ratio and normalized routing overhead. © Springer Science+Business Media Dordrecht 2014.

关键词： Routing protocols

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An ACO-LB algorithm for task scheduling in the cloud environment

Journal of Software

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Journal of software 2014年第2期9卷 466-473页

作者： Xue, Shengjun Li, Mengying Xu, Xiaolong Chen, Jingyi Nanjing University of Information Science and Technology School of Computer and Software Nanjing China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing China

In the face of a large number of task requests which are submitted by users, the cloud data centers need not only to finish these massive tasks but also to satisfy the user's service demand. How to allocate virtual machine reasonably and schedule the tasks efficiently becomes a key problem to be solved in the cloud environment. This paper proposes a ACO-LB(Load balancing optimization algorithm based on ant colony algorithm) algorithm to solve the load imbalance of virtual machine in the process of task scheduling The ACO-LB algorithm can adapt to the dynamic cloud environment. It will not only shorten the makespan of task scheduling, but also maintain the load balance of virtual machines in the data center. In this paper, the workflow scheduling is simulated in CloudSim. The results show that the proposed ACO-LB algorithm has better performance and load balancing ability. © 2014 ACADEMY PUBLISHER.

关键词： Ant colony optimization

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An improved algorithm based on NSGA-II for cloud PDTs scheduling

Journal of Software

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Journal of software 2014年第2期9卷 443-450页

作者： Xue, Shengjun Liu, Fei Xu, Xiaolong Nanjing University of Information Science and Technology School of Computer and Software Nanjing China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing China

Partly dependent tasks (PDTs) scheduling with multi-objective optimization in cloud computing is an NP-hard problem. Taking the quality of service (QoS) requirements of users that use cloud computing into account, we set the cost and time requirements of handling the PDTs as the multiple objectives and present an improved algorithm based on the non-dominated sorting genetic algorithm-II (NSGA-II) to find the Pareto optimal set of the PDTs scheduling. In this paper, the similar task order crossover (STOX) operator is applied to make the evolution more efficient while the shift mutation operator is applied in the process of evolution to avoid the premature convergence. In addition, we present a new method named self-adapting crowding distance (SCD) operator, which can improve the diversity of individuals in the Pareto-optimal front. The simulation results and analysis show that the proposed algorithm performs better than NSGA-II in maintaining the diversity and the distribution of the Pareto-optimal solutions in the cloud PDTs scheduling. © 2014 ACADEMY PUBLISHER.

关键词： Multiobjective optimization

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A comparative study on routing protocols in underwater sensor networks

A comparative study on routing protocols in underwater senso...

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Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

作者： Shen, Jian Wang, Jin Zhang, Jianwei Wang, Shunfeng School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China College of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 210044 China College of Bin Jiang Nanjing University of Information Science and Technology Nanjing 210044 China

ISBN: (纸本)9789400772618

Underwater sensor networks (UWSNs) are a class of emerging networks that experience variable and high propagation delays and limited available bandwidth. Because of the different environment under the ocean, the whole protocol stack should be re-designed to fit for the surroundings. In this paper, we only focus on the routing protocols in the network layer. We survey the state-of-the-art routing protocols and give a comparison of them with respect to the important challenging issues in UWSNs. The pros and cons are discussed and compared for the routing protocols. © Springer Science+Business Media Dordrecht 2014.

关键词： Routing protocols

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Cooperative provable data possession with stateless verification in multicloud storage

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Journal of Computational Information Systems 2014年第8期10卷 3403-3411页

作者： Sun, Xingming Chen, Lihong Xia, Zhihua Zhu, Yanling 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

Provable Data Possession (PDP) is a probabilistic proof technique for checking the availability and integrity of files on untrusted storage servers without downloading the whole data files. Recently, Zhu et al. proposed a cooperative PDP (CPDP) scheme for multicloud storage, where multiple cloud storage providers (CSPs) can cooperatively store and maintain the users' data. However, their scheme does not conform to the property of knowledge soundness. Moreover, the verifier needs to maintain and update state in their scheme, which is a serious drawback for proof-of-storage systems with public verifiability. In this paper, we design a secure CPDP scheme based on a sequence-enforced Merkle Hash Tree (sMHT) construction and Homomorphic Verifiable Response (HVR) with random masking. The proposed scheme achieves knowledge soundness, full stateless verification and dynamic data updates. Our analysis shows that the new solution resolves the issue of Zhu's scheme with only a little of computation and communication overheads. © 2014 Binary Information Press.

关键词： Cloud storage

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Wang-Landau sampling in face-centered-cubic hydrophobic-hydrophilic lattice model proteins

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Physical Review E 2014年第4期90卷 042715-042715页

作者： Jingfa Liu Beibei Song Yonglei Yao Yu Xue Wenjie Liu Zhaoxia Liu Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China School of Computer & Software Nanjing University of Information Science & Technology Nanjing 210044 China Network Information Center Nanjing University of Information Science & Technology Nanjing 210044 China

Finding the global minimum-energy structure is one of the main problems of protein structure prediction. The face-centered-cubic (fcc) hydrophobic-hydrophilic (HP) lattice model can reach high approximation ratios of real protein structures, so the fcc lattice model is a good choice to predict the protein structures. The lacking of an effective global optimization method is the key obstacle in solving this problem. The Wang-Landau sampling method is especially useful for complex systems with a rough energy landscape and has been successfully applied to solving many optimization problems. We apply the improved Wang-Landau (IWL) sampling method, which incorporates the generation of an initial conformation based on the greedy strategy and the neighborhood strategy based on pull moves into the Wang-Landau sampling method to predict the protein structures on the fcc HP lattice model. Unlike conventional Monte Carlo simulations that generate a probability distribution at a given temperature, the Wang-Landau sampling method can estimate the density of states accurately via a random walk, which produces a flat histogram in energy space. We test 12 general benchmark instances on both two-dimensional and three-dimensional (3D) fcc HP lattice models. The lowest energies by the IWL sampling method are as good as or better than those of other methods in the literature for all instances. We then test five sets of larger-scale instances, denoted by the S, R, F90, F180, and CASP target instances on the 3D fcc HP lattice model. The numerical results show that our algorithm performs better than the other five methods in the literature on both the lowest energies and the average lowest energies in all runs. The IWL sampling method turns out to be a powerful tool to study the structure prediction of the fcc HP lattice model proteins.

关键词： WANG-Landau algorithm FACE centered cubic structure HYDROPHOBIC interactions LATTICE models (Statistical physics) PROTEIN structure

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