2017 International Conference on Computing Intelligence and Information System (CIIS)最新文献

Network Traffic Anomaly Detection Based on Dynamic Programming 基于动态规划的网络流量异常检测

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-21 DOI: 10.1109/CIIS.2017.18

Qing Yu, Xi-Wu Gu

引用次数: 11

Study on the Robustness Based on PID Fuzzy Controller 基于PID模糊控制器的鲁棒性研究

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-21 DOI: 10.1109/CIIS.2017.30

Q. Song, Yaochun Wu

引用次数: 4

The Best Performance Evaluation of Encryption Algorithms to Reduce Power Consumption in WSN 降低无线传感器网络功耗的加密算法的最佳性能评估

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-21 DOI: 10.1109/CIIS.2017.50

M. A. A. Sibahee, Songfeng Lu, Z. Hussien, M. Hussain, Keyan Abdul-Aziz Mutlaq, Z. Abduljabbar

引用次数: 7

Non-redundant Distributed Database Allocation Technology Research 非冗余分布式数据库分配技术研究

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-21 DOI: 10.1109/CIIS.2017.57

Qiao Sun, Bu-qiao Deng, Lan-mei Fu, Jiasong Sun

引用次数: 2

Secure Cloud Storage and Quick Keyword Based Retrieval System 安全云存储与基于关键字的快速检索系统

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.67

Song Lu, Abdulruhman I Ahmed Abomakhelb

{"title":"Secure Cloud Storage and Quick Keyword Based Retrieval System","authors":"Song Lu, Abdulruhman I Ahmed Abomakhelb","doi":"10.1109/CIIS.2017.67","DOIUrl":"https://doi.org/10.1109/CIIS.2017.67","url":null,"abstract":"In recent years, Cloud Computing becomes more prevalent in data store domain. More and more sensitive to store information into the cloud, Due to the importance the protection of data privacy, to protect sensitive data, should be encrypted before outsourcing, which makes ineffective data utilization and a very challenging task. Although the protection of the privacy of the data has to be encrypted, There should be schemes allow a user to securely search over encrypted data through keywords and selectively retrieve the appropriate files interest. These techniques support only exact searchable over encryption. In this paper, find a solution to the problem of effective keyword search over encrypted cloud data while maintaining keyword privacy. Keyword search greatly enhances system usability by returning the matching files when users' searching inputs exactly match the predefined keywords. In our solution, we extract the keywords from the file and encrypted the keywords then added into the index. Instead of storing file and searchable index on a cloud system, the proposed system will store the file on cloud and store searchable index on a private server. Which greatly reduces network congestion and representation overheads, also retrieval fast for files, and reduces the storage by file compression With enhanced security using encryption techniques and permission to access the data, through accurate security analysis, we show that our proposed solution is secure and privacy-preserving, while correctly realizing the goal of retrieval data.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"6 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835880","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

Effective Confidence Interval Estimation Based on Ohba's Software Reliability Growth Model 基于Ohba软件可靠性增长模型的有效置信区间估计

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.38

Po-Chiang Tsai, Chih-Chiang Fang

引用次数: 0

Content-Based Image Retrieval Based on Multi-feature Fusion Optimized by Brain Storm Optimization 基于头脑风暴优化多特征融合的基于内容的图像检索

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.20

Hengjun Zhou, M. Jiang

{"title":"Content-Based Image Retrieval Based on Multi-feature Fusion Optimized by Brain Storm Optimization","authors":"Hengjun Zhou, M. Jiang","doi":"10.1109/CIIS.2017.20","DOIUrl":"https://doi.org/10.1109/CIIS.2017.20","url":null,"abstract":"With the fast development of information technology and increasing number of image database, how to retrieval a large amount of information from the image quickly and effectively becomes more and more important. Brain Storm Optimization (BSO) is simple, robust and has high searching precision. So it is applied into the image retrieval in this paper. Content-based image retrieval (CBIR) extracts the color, texture, shape and other low-level visual features of images to realize image matching. Compared with image retrieval based on single feature, image retrieval based on multi-feature fusion can fully represent image information. In the multi-feature fusion, the ratio of each feature selection is critical to the search result. Traditional method is manually set or proportional integration, which ignores the priority between the various features. This paper uses BSO for image retrieval. Color histogram, color moment, color structure descriptor, Tamura texture feature, GLCM texture, wavelet transform texture, Gabor transform texture, edge histogram descriptors and Hu invariant moment are extracted in the paper and BSO is used for image retrieval. Experiment results show that the proposed method can retrieval the target image accurately and improve the precision of the system.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"393 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122994705","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

MCIR: A Multi-modal Image Registration Algorithm Based on Membrane Computing 基于膜计算的多模态图像配准算法

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.46

Zhilv Gao, Chengfang Zhang

引用次数: 4

Application of Phase Space Reconstruction in a Few-Channel EEG-NIRS Bimodal Brain-Computer Interface System 相空间重构在少通道脑电-近红外双峰脑机接口系统中的应用

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.19

Yuchen Xie, Qing Yang, Pan Lin, Y. Leng, Yuankui Yang, Haixian Wang, S. Ge

引用次数: 2

Mathematical Modeling of Pursuit-Evasion System for Video Surveillance Network 视频监控网络追逃系统的数学建模

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.48

Wenjun Wang, Fanliang Bu

引用次数: 0