2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)最新文献_第3页

A Co-Evolutionary Model for Inferring Online Social Network User Behaviors 一个推断在线社交网络用户行为的协同进化模型

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965440

Xiaoming Liu, Chao Shen, Yingyue Fan, Xiaozi Liu, Yadong Zhou, X. Guan

{"title":"A Co-Evolutionary Model for Inferring Online Social Network User Behaviors","authors":"Xiaoming Liu, Chao Shen, Yingyue Fan, Xiaozi Liu, Yadong Zhou, X. Guan","doi":"10.1109/SPAC46244.2018.8965440","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965440","url":null,"abstract":"Accurate online social network user behavior inference can improve the performance of the other applications significantly, such as friend commendation, hot topic prediction, and personal website assistant. Previous works mainly focus on the trend analysis of user behaviors or adopt the method to fit the supposed user-behavior distribution, but they ignore the dynamic mutual influence among the users and behaviors on social networks. This paper proposes a co-evolutionary model to formulate the interaction pattern among the users and behaviors, in which a systematic method is used for embedding the distinctiveness and permanence properties of the users and behaviors into latent features. This model could naturally capture the dynamic evolving process of the user behaviors with the time. What’s more, we also take into account the following relationship to depict the interaction information among users. Extensive experiments show that our algorithm achieves 0.024 of the MAE (hour) in the crime time inference, and 0.506 and 0.579 of the accuracy in the user and behavior inference, which surpass the state-of-arts more than 7.19×, 1.12× and 1.14×, respectively. Additional experiments on different training echoes of our model are provided to further explore its effectiveness and scalability.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114502835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Research on investor sentiment and stock market prediction based on Weibo text 基于微博文本的投资者情绪与股市预测研究

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965607

Yongheng Deng, Qing Xie, Yong Wang

引用次数: 0

Classification based Integration of Quantifications for LC-MS Analysis 基于分类的LC-MS分析定量集成

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965613

Tianjun Li, Long Chen, Huiqin Wei

引用次数: 0

A File Encryption Algorithm Based on Dynamic Block Out of order Matrix Mapping 基于动态块乱序矩阵映射的文件加密算法

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965585

Tan Dong, Yanxia Wang, Liu Lei

{"title":"A File Encryption Algorithm Based on Dynamic Block Out of order Matrix Mapping","authors":"Tan Dong, Yanxia Wang, Liu Lei","doi":"10.1109/SPAC46244.2018.8965585","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965585","url":null,"abstract":"In order to solve the security of content transfer during file transfer and fast encryption of large files. This paper proposes a method to quickly encrypt large files and protect the contents of file information, also prevent files from being intercepted and decrypted before use. The algorithm of file encryption based on dynamic block out of order matrix mapping. First, dynamically block the files according to a certain ratio, extract the raw data and key information of each block, then store the out of order data into a two-dimensional table of matrix after calculation and processing. Second, use Base64 encoding on this matrix mapping table. Then the matrix mapping table is to be a unique decryption key of this file. After that, the data in the spare block of the file is filled with the MD5 data, the MD5 data is generated by UUID and block with the same size as the number of dynamic block. The new encrypted file whose length is equal to the original file. Because it is dynamic block and random extracted data, so it is fast and efficient. The experimental results and security analysis show that the algorithm has a good encryption structure and high security, which can effectively resist various attack behaviors. Most of the files that with different types can be used, and the speed to encrypt and decrypt large files is greatly improved compared with the traditional encryption and decryption methods, the speed and efficiency far exceed the traditional file encryption and decryption algorithms, such as AES, DES, 3DES and so on.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122693771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and Analysis for Spectrum Handoff in Cognitive Heterogeneous Wireless Network 认知异构无线网络频谱切换建模与分析

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965614

Bin Ma, Qianqian Zhang, Xianzhong Xie

{"title":"Modeling and Analysis for Spectrum Handoff in Cognitive Heterogeneous Wireless Network","authors":"Bin Ma, Qianqian Zhang, Xianzhong Xie","doi":"10.1109/SPAC46244.2018.8965614","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965614","url":null,"abstract":"In cognitive heterogeneous wireless network where the open wireless network and the cognitive radio network coexist, we use the queuing theory to model the spectrum handoff of secondary user(SU), solving the problem of large secondary user service delay. First, a cognitive heterogeneous wireless network environment is established based on the shared unlicensed spectrum as well as the opportunity utilization authorized spectrum in cognitive radio network. Then, a novel dynamic data adjustment scheme is proposed based on the channel historical state information. Combining with the user classification and the PRP/NPRP M/G/1 queue model, we analyze the secondary users’ extened data transmission delay in spectrum handoff, and propose an adaptive frequency handoff strategy to minimize the delay. Finally, the simulation results show that the proposed cognitive heterogeneous wireless network can realize the network coexistence and improve the spectrum utilization efficiency. Meanwhile, the proposed adaptive spectrum handoff strategy can effectively reduce the transmission delay of delay-sensitive secondary users, while improve the service performance of non-delay-sensitive ones.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122333372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Weak Ordering Space Search in Turn-based War Chess Gaming 回合制战棋博弈中的弱排序空间搜索

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965586

Hai Nan, Wanping Liu, Chao Liu, Chengyun Song

引用次数: 0

Adaptive Fuzzy Inverse Optimal Control for A Class of Two Order Nonlinear Systems 一类二阶非线性系统的自适应模糊逆最优控制

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965558

Tingting Yang, Fengxue Cao, Yong-ming Li, Shaocheng Tong

引用次数: 0

Image Shadow Removal Based on Residual Neural Network 基于残差神经网络的图像阴影去除

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965500

Wei Zheng, Xiuping Teng

引用次数: 0

Fuzzy Nearest Neighbor Partitioning Neural Network for Classification 模糊最近邻划分神经网络分类

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965611

Shuangrong Liu, Lin Wang, Bo Yang, Shuo Kong, Huifen Dong, Xuehui Zhu

引用次数: 1

Characters Verification via Siamese Convolutional Neural Network 基于连体卷积神经网络的字符验证

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965605

Shengke Wang, Xin Lv, Rui Li, Changyin Yu, Junyu Dong

引用次数: 1