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5th IEEE International Conference on Intelligent networking and Collaborative Systems, INCoS 2013

作者： Xiao, Haiyan Yang, Xiaoyuan Key Laboratory of computer Network Information Security of Engineering Institute of the Armed Police Xi'an Shanxi China

ISBN: (纸本)9780769549880

The confidential computation of matrix is a very important issue in secure multi-party computation. But there is no literature proposed truly multi-party confidential computation protocol on matrix factorization. In this paper, we use data perturbation assumptions and oblivious transfer protocol to construct a multi-party confidential computation protocol on matrix factorization which has high efficiency. © 2013 IEEE.

关键词： Factorization

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A novel search engine-based method for discovering command and control server 15th

A novel search engine-based method for discovering command a...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Guo, Xiaojun Cheng, Guang Pan, Wubin Dinhtu, Truong Liang, Yixin School of Computer Science and Engineering Southeast University Nanjing211189 China Key Laboratory of Computer Network and Information Integration Southeast University Nanjing211189 China School of Information Engineering Xizang Minzu University Xianyang712082 China XiZang Key Laboratory of Optical Information Processing and Visualization Technology Xizang Minzu University Xianyang712082 China

ISBN: (纸本)9783319271361

To solve the problem of getting command and control (C&C) server address covertly for malware of Botnet or advanced persistent threats, we propose a novel C&C-server address discovery scheme via search engine. This scheme is com-posed of five modules. The botmaster uses publish module to issue C&C-server IPs in diaries of several free blogs on Internet firstly. Then these diaries could be indexed by search engine (SE). When the infected terminal becomes a bot, it uses keyword production module to produce search keyword and submits some or all these keywords to SEs to obtain the search engine result pages (SERPs). For items in SERPs, the bot uses filtering algorithm to remove noise items and leave valid items whose abstract contain C&C-server IPs. Lastly the bot utilizes extraction and conversion module to extract these C&C-server IPs and translates them into binary format. The experimental results show that our proposed scheme is fully able to discover and obtain C&C-server IPs via various search engines. Furthermore, if we set proper threshold value for SE, it can extract C&C-server IPs accurately and efficiently. © Springer International Publishing Switzerland 2015.

关键词： Search engines

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Performance Analysis of 802.11 Broadcast Channel Access Based on Finite Queue and Markov Chain

Performance Analysis of 802.11 Broadcast Channel Access Base...

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International Workshop on Intelligent Communication and Social networks

作者： Zheng Liu Sanfeng Zhang Yi Ji Minjie Xu Key Laboratory of Computer Network and Information Integration of Ministry of Education Southeast University

ISBN: (纸本)9781479909735

network coding and opportunistic routing as transmission technologies of Wireless Mesh network, which are based on the 802.11 broadcast channel access, have become more sophisticated. It is important to build more accurate models on broadcast channel access to analyze performance, such as throughput, delay, fairness and contention. This paper describes behavior of network nodes based on MAC layer queuing analysis and two-dimensional discrete-time Markov chain model. Thus the actual transmission rate of each node can be concluded. The simulation results show that the model can effectively predict the transmission performance under different levels of transmission load.

关键词： WMN NCOR 802.11 Markov Chain

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Robust Disaster Recovery System Model

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Wuhan University Journal of Natural Sciences 2006年第1期11卷 170-174页

作者： WANG Kun SU Rui-dan LI Zeng-xin CAI Zhen ZHOU Li-hua Key Laboratory of Computer Network and Information Security of the Ministry of Education Xidian University Xi＇ an 710071 Shaanxi China National Information Security Engineering and Technology Research Center Beijing 100093 China

Highly security-critical system should possess features of continuous service. We present a new Robust Disaster Recovery System Model （RDRSM）. Through strengthening the ability of safe communications, RDRSM guarantees the secure and reliable command on disaster recovery. Its self-supervision capability can monitor the integrality and security of disaster recovery system itself. By 2D and 3D rea-time visible platform provided by GIS, GPS and RS, the model makes the using, management and maintenance of disaster recovery system easier. RDRSM possesses predominant features of security, robustness and controllability. And it can be applied to highly security-critical environments such as E-government and bank. Conducted by RDRSM, an important E-government disaster recovery system has been constructed successfully. The feasibility of this model is verified by practice. We especially emphasize the significance of some components of the model, such as risk assessment, disaster recovery planning, system supervision and robust communication support.

关键词： continuous service E-government information security disaster recovery high availability risk assessment data backup

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Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile networks 19th

Resource Cooperative Scheduling Optimization Considering Sec...

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19th EAI International Conference on Collaborative Computing: networking, Applications and Worksharing, CollaborateCom 2023

作者： Fang, Cheng Yang, Peng Yi, Meng Du, Miao Li, Bing Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing China School of Computer Science and Engineering Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9783031545207

With the rapid development of technologies such as the Internet of Things and artificial intelligence, the contradiction between limited user computing resources and real-time, fast, and safe processing of large amounts of data has become an urgent issue. The emergence of edge computing provides IoT applications with a low-latency, high-bandwidth, and high-performance computing service. Due to the complexity and dynamics of the edge computing environment itself, and the limited resources of the terminal, the security issue of resource collaborative scheduling in the edge mobile network has become an important research topic. Different from existing work, this paper proposes an efficient and secure multi-user resource cooperative scheduling model, which comprehensively considers resource allocation, task offloading, QoE requirements, and data security. In the model, ChaCha20 encryption technology is introduced as a security mechanism to prevent data from being maliciously stolen by attackers during the offloading process, and computing speed is used as an indicator to quantify QoE requirements. A resource collaborative scheduling algorithm that integrates security mechanisms and computing acceleration is also proposed to minimize the total cost of optimizing the edge computing system. Finally, the effectiveness and superiority of the model and algorithm are verified by simulation experiments. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Edge computing

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Opinions Are Not Always Positive: Debiasing Opinion Summarization With Model-Specific and Model-Agnostic Methods 30

Opinions Are Not Always Positive: Debiasing Opinion Summariz...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Zhang, Yanyue Lai, Yilong Wang, Zhenglin Li, Pengfei Zhou, Deyu He, Yulan School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China Department of Informatics King's College London United Kingdom The Alan Turing Institute United Kingdom

ISBN: (纸本)9782493814104

As in the existing opinion summary data set, more than 70% are positive texts, the current opinion summarization approaches are reluctant to generate the negative opinion summary given the input of negative opinions. To address such sentiment bias, two approaches are proposed through two perspectives: model-specific and model-agnostic. For the model-specific approach, a variational autoencoder is proposed to disentangle the input representation into sentiment-relevant and sentiment-irrelevant components through adversarial loss. Therefore, the sentiment information in the input is kept and employed for the following decoding which avoids interference of content information with emotional signals. To further avoid relying on some specific opinion summarization frameworks, a model-agnostic approach based on counterfactual data augmentation is proposed. A dataset with a more balanced emotional polarity distribution is constructed using a large pre-trained language model based on some pairwise and mini-edited principles. Experimental results show that the sentiment consistency of the generated summaries is significantly improved using the proposed approaches, while their semantics quality is unaffected. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Semantics

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PIWD: A plugin-based framework for well-designed SPARQL 6

PIWD: A plugin-based framework for well-designed SPARQL

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6th Joint International Conference on Semantic Technology, JIST 2016

作者： Zhang, Xiaowang Song, Zhenyu Feng, Zhiyong Wang, Xin School of Computer Science and Technology Tianjin University Tianjin China School of Computer Software Tianjin University Tianjin300350 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing211189 China

ISBN: (纸本)9783319501116

In the real world datasets (e.g., DBpedia query log), queries built on well-designed patterns containing only AND and OPT operators (for short, WDAO-patterns) account for a large proportion among all SPARQL queries. In this paper, we present a plugin-based framework for all SELECT queries built on WDAO-patterns, named PIWD. The framework is based on a parse tree called well-designed AND-OPT tree (for short, WDAO-tree) whose leaves are basic graph patterns (BGP) and inner nodes are the OPT operators. We prove that for any WDAOpattern, its parse tree can be equivalently transformed into a WDAOtree. Based on the proposed framework, we can employ any query engine to evaluate BGP for evaluating queries built on WDAO-patterns in a convenient way. Theoretically, we can reduce the query evaluation of WDAO-patterns to subgraph homomorphism as well as BGP since the query evaluation of BGP is equivalent to subgraph homomorphism. Finally, our preliminary experiments on gStore and RDF-3X show that PIWD can answer all queries built on WDAO-patterns effectively and efficiently. © Springer International Publishing AG 2016.

关键词： Forestry

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Offensive Text Style Transfer based on Unsupervised Learning

Offensive Text Style Transfer based on Unsupervised Learning

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2022 International Conference on Artificial Intelligence and Intelligent information Processing, AIIIP 2022

作者： Zhao, Hanlin Yang, Peng School of Cyber Science and Engineering Southeast University Nanjing China School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing China

ISBN: (纸本)9781510660175

As the current mainstream social networking method, online social networking brings convenience to people, but also generates negative problems such as language violence. Therefore, offensive text style transfer research has become an arduous task. Research has shown that the semantic loss is caused by the discreteness and timing of the text data, resulting in a low degree of content retention after style transferring, and the lack of relevant parallel corpus data and specific style tag keywords, therefore, the accuracy of text style transfer is limited. Aiming at the existing problems, this paper proposes an Offensive Text Style Transfer based on the Unsupervised Learning (OTST-UL) model. First, the input text is encoded through the bidirectional encoding attention mechanism to retain the core content of the text. Then the generator-discriminator is applied for adversarial training, and a reconstruction loss algorithm is constructed to ensure the accuracy of the offensive language style transformation and the integrity of the text content. Experimental results show that the OTST-UL model outperforms existing text style transfer models on offensive language datasets. © 2022 SPIE.

关键词： Unsupervised learning

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Coverage Enhancement Strategy Based on Novel Perception and Co-evolution for Multimedia Sensor networks

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电子学报(英文版) 2013年第1期22卷 135-140页

作者： XIAO Fu WANG Jing SUN Lijuan WANG Ruchuan GUO Jian College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor net- works. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution al- gorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the ef- fectiveness of our algorithm in coverage ratio.

关键词：无线多媒体传感器网络网络覆盖协同进化感知增强算法网络工程测量模型

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A robust approach for palm ROI extraction based on real-time region learning

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2012 International Conference on Service-Oriented Computing, ICSOC 2012

作者： Yan, Meng Sun, Dongmei Zhao, Shouguo Zhou, Jiajia Key Laboratory of Advanced Information Science and Network Technology of Beijing School of Computer and Information Technology Beijing Jiaotong University China

ISBN: (纸本)9783319029603

A palmprint based authentication system that can work with a popular webcam in non-contact acquisition mode is potentially a good choice for biometric ***,this camera based imaging acquisition mode causes the difficulty for the location of palmprint due to the unstable palm position and variable illumination condition and effects the extraction of palm region of interest(ROI).In particular,changes in illumination of the system effect its performance heavily. The process of extract palm ROI has been discussed in different papers, but hardly does very well under variable light conditions and pose *** this paper,we propose a robust approach for localizing the palm and extracting the ROI based on real-time region learning.A dynamical region is learned to binarize the image and get the hand contour to extract the palm ROI. In a database of 1000 video clips of hand under different illumination and poses,the accurate extraction rate reaches 92%. © Springer International Publishing 2013.

关键词： Extraction

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