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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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The Development and Application of Quantum Masking

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Journal of Quantum Computing 2020年第3期2卷 151-156页

作者： Tao Chen Zhiguo Qu Yi Chen School of Computer&Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China

To solve the problem of hiding quantum information in simplified subsystems,Modi et al.[1]introduced the concept of quantum *** masking is the encoding of quantum information by composite quantum states in such a way that the quantum information is hidden to the subsystem and spreads to the correlation of the composite *** concept of quantum masking was developed along with a new quantum impossibility theorem,the quantum no-masking *** question of whether a quantum state can be masked has been studied by many people from the perspective of the types of quantum states,the number of masking participants,and error correction *** have studied the relationships between maskable quantum states,the deterministic and probabilistic masking of quantum states,and the problem of probabilistic *** masking techniques have been shown to outperform previous strategies in quantum bit commitment,quantum multi-party secret sharing,and so on.

关键词： Quantum masking quantum systems maximal maskable set

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Real-time image carrier generation based on generative adversarial network and fast object detection

Real-time image carrier generation based on generative adver...

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作者： Li, Chuanlong Sun, Xingming Zhou, Zhili Yang, Yimin School of Computer and Software Nanjing University of Information Science and Technology Ning Liu Road No. 219 Nanjing210044 China Jiangsu Engineering Centre of Network Monitoring Ning Liu Road No. 219 Nanjing210044 China Department of Computer Science Lakehead University Thunder Bay Canada

Image steganography aims to conceal the secret information inside another carrier image. And by embedding the information into the carrier image, the carrier image may suffer certain image distortion. Thus, not only the hiding algorithm should be carefully designed, but also the carrier image should be meticulously selected during the hiding process. This paper follows the idea of creating suitable cover images instead of selecting the ones by presenting a unified architecture which combines real-time object detection based on convolutional neural network, local style transfer using generative adversarial network and steganography together to realize real-time carrier image generation. The object in the carrier image is first detected using a fast object detector and then the detected area is reconstructed through a local generative network. The secret message is embedded into the intermediate generated images during the training process in order to generate an image which is suitable as an image carrier. The experimental results show that the reconstructed stego images are nearly indistinguishable to both human eyes and steganalysis tools. Furthermore, the whole carrier image generation process with GPU implementation can achieve around 5 times faster than the regular CPU implementation which meets the requirement of real-time image processing. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Steganography

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A WiFi-aware method for mobile data offloading with deadline constraints

A WiFi-aware method for mobile data offloading with deadline...

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作者： Tang, Wenda Wu, Chaobing Qi, Lianyong Zhang, Xuyun Xu, Xiaolong Dou, Wanchun State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China School of Information Science and Engineering Chinese Academy of Education Big Data Qufu Normal University Rizhao China Department of Electrical and Computer Engineering The University of Auckland Auckland New Zealand Jiangsu Engineering Centre of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

With an increasing number of public WiFi hotspots have been constructed in metropolitan areas, citizens can leverage these WiFi hotspots to surf the Internet with their smart devices almost everywhere. Compared to cellular networks, most people prefer using WiFi because this can not only save money by reducing the cellular data traffic but also save energy to prolong the battery lifetime of mobile devices. Mobile offloading techniques give the opportunity for smart devices to offload cellular data traffic to WiFi networks whenever they are connected WiFi networks. Although offloading to WiFi networks can cause communication delay, many delay-tolerant applications still prefer doing so in order to save the cellular data traffic. Existing offloading approaches only take the application delay tolerance into consideration and therefore easy to induce some tasks missing deadlines. In this paper, we propose a novel WiFi-aware method for mobile data offloading through WiFi networks with deadline constraints. Specifically, it takes the WiFi distribution in city areas into consideration while making offloading decision. The simulation results on real-world data have shown that our method improves the percentage of tasks that can meet their deadlines, and reduces the average task completion time by comparing with other outstanding methods. © 2019 John Wiley & Sons, Ltd.

关键词： Wireless local area networks (WLAN)

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Towards Efficient Content-aware Search over Encrypted Outsourced Data in Cloud

Towards Efficient Content-aware Search over Encrypted Outsou...

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Annual IEEE International Conference on computer Communications

作者： Zhangjie Fu Xingming Sun Sai Ji Guowu Xie College of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Department of Computer Science and Engineering University of California Riverside

ISBN: (纸本)9781467399548

With the increasing adoption of cloud computing, a growing number of users outsource their datasets into cloud. The datasets usually are encrypted before outsourcing to preserve the privacy. However, the common practice of encryption makes the effective utilization difficult, for example, search the given keywords in the encrypted datasets. Many schemes are proposed to make encrypted data searchable based on keywords. However, keyword-based search schemes ignore the semantic representation information of users retrieval, and cannot completely meet with users search intention. Therefore, how to design a content-based search scheme and make semantic search more effective and context-aware is a difficult challenge. In this paper, we proposed an innovative semantic search scheme based on the concept hierarchy and the semantic relationship between concepts in the encrypted datasets. More specifically, our scheme first indexes the documents and builds trapdoor based on the concept hierarchy. To further improve the search efficiency, we utilize a tree-based index structure to organize all the document index vectors. Our experiment results based on the real world datasets show the scheme is more efficient than previous scheme. We also study the threat model of our approach and prove it does not introduce any security risk.

关键词： Dataset outsourcing Scheme Consumers CLOUDS Clouds Semantics Context awareness Searches

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A feature selection algorithm towards efficient intrusion detection

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2015年第11期10卷 253-264页

作者： Yin, Chunyong Ma, Luyu Feng, Lu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

Feature selection algorithm plays a crucial role in intrusion detection, data mining and pattern recognition. According to some evaluation criteria, it gets optimal feature subset by deleting unrelated and redundant features of the original data set. Aiming at solving the problems about the low accuracy, the high false positive rate and the long detection time of the existing feature selection algorithm. In this paper, we come up with a feature selection algorithm towards efficient intrusion detection, this algorithm combines the correlation algorithm and redundancy algorithm to chooses the optimal feature subset. Experimental results show that the algorithm shows almost and even better than the traditional feature selection algorithm on the different classifiers. © 2015 SERSC.

关键词： Redundancy

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Study on information acquisition of Deep Web based on LRL

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Journal of Computational Information Systems 2011年第15期7卷 5469-5475页

作者： Fang, Wei Wen, Xuezhi Pan, Wubin 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

Deep Web information is heterogeneous and dynamic. How to make use of this information effectively is a challenging task. In order to obtain the newest content in the Deep Web, a data generative model of Deep Web has been created by analyzing the variety characters of Deep Web data, which can be used to estimate the data's update frequency and variable cycle. Then, a novel approach on incremental information acquisition based on logical reinforcement learning (LRL) has been proposed. Under the same condition of constraint resources, the experimental results have shown that the new approach can improve the freshness of data, discovery efficiency of new data and the service quality of Deep Web information integration. © 2011 Binary Information Press December, 2011.

关键词： Reinforcement learning

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Optimization of large scale of files transfer in meteorological grid

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International Journal of Grid and Distributed Computing 2013年第1期6卷 25-34页

作者： Ma, Tinghuai Cao, Hao Wang, Jin Tian, Wei Dickson, Keddy Wornyo Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology China School of Computer and Software Nanjing University of Information Science and Technology China

This paper focuses on performance enhancement of large scale of small files transfer, which is critical to the performance of meteorological grid. GridFTP and compression techniques are used to optimize the efficiency. The transfer parameters are configured before transmission, such as extended block mode (Mode E), TCP buffer size. Compression is used to compress files into single file, in order to eliminate negotiating time before transmission. During the course of our research, we sacrifice the disk space for avoiding the vicious recurrence of compression-decompression-compression. In the end, the experiments show the advantages of our approach.

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An improved algorithm based on ACO for cloud service PDTs scheduling

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Advances in Information Sciences and Service Sciences 2012年第18期4卷 340-348页

作者： Xue, Shengjun Zhang, Jie Xu, Xiaolong Nanjing University of Information Science and Technology School of Computer and Software Nanjing 210044 China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing 210044 China

With the increasing popularity of cloud computing technology, a great many applications are submitted to the cloud platforms for execution. Faced with the low utilization efficiencies and high cost of resources, users need cloud services with "lowest pay and highest efficiency". In this paper, we define a new scheduling model for Partly Dependent Tasks (PDTs) which merge workflow tasks and independent tasks together. Moreover, the scheduling model also takes the time requirements of QoS (Quality of Service) constrains and cost reduction into consideration. In order to meet these requirements, an improved ant colony optimization algorithm also put forward to schedule the PDTs (PIACO). Furthermore, we experiment with a set of PDTs by varying many related parameters such as the iterations, colony size and different deadline settings. Finally, the proposed algorithm PIACO proves to be efficient and suitable for the cloud PDTs scheduling.

关键词： Quality of service

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Distributed dynamic sensor selection on energy balancing for target tracking in WSNs

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Journal of Computational Information Systems 2013年第23期9卷 9645-9652页

作者： Zhang, Jian Li, Tao Wang, Baowei 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

This paper presents a dynamic sensor selection for an energy-efficient target tracking procedure in distributed cluster-based wireless sensor networks, where sensors are randomly distributed to monitor one target. Since the energy consumption model is a function on the distance between sensors, energy levels are proposed according to the relationship between energy consumption increment and the distance. Considering the energy consumption asymmetric of nodesan approximate selection scheme and a repaired selection sheme is researched. After that, an accurate selection scheme is employed by exhaustive enumeration algorithm under the basis of posterior Cramer-Rao lower bound (PCRLB) to optimize tracking performance for WSNs. Simulations demonstrate effective tracking performance on energy balance in challenging settings, where some sensors are heavily scheduled between intervals compared to others. Therefore, the adaptive sensor selection algorithm (ASSA) can efficiently prolong the network lifetime. Copyright © 2013 Binary Information Press.

关键词： Target tracking

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