Proceedings of 2014 International Conference on Cloud Computing and Internet of Things最新文献_第3页

Analysis of information transmission in GEO+IGSO+MEO constellation GEO+IGSO+MEO星座信息传输分析

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062524

Yi Liu, Bin Wu, Bo Wang

引用次数: 0

Using V-Model methodology, UML process-based risk assessment of software and visualization 采用V-Model方法，基于UML过程的软件风险评估和可视化

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062536

M. Naeem, Weihua Zhu, A. A. Memon, A. Khalid

引用次数: 6

Optimization of Neural Network based on Genetic Algorithm and BP 基于遗传算法和BP的神经网络优化

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062537

Shiwei Zhang, Hanshi Wang, Lizhen Liu, Chao Du, Jingli Lu

{"title":"Optimization of Neural Network based on Genetic Algorithm and BP","authors":"Shiwei Zhang, Hanshi Wang, Lizhen Liu, Chao Du, Jingli Lu","doi":"10.1109/CCIOT.2014.7062537","DOIUrl":"https://doi.org/10.1109/CCIOT.2014.7062537","url":null,"abstract":"In order to improve the intelligence, high efficiency, humanization of the type of the search and eliminate games, and also to improve the search performance and rule out the accuracy of the target during intelligent games running. This paper puts forward a comprehensive method that combines Genetic Algorithm, Neural Network and Back Propagation (BP) to solve the insufficiency of computing power and low efficiency by using a single algorithm in Intelligence games. In this method, Genetic Algorithm will be used in weight training of Neural Network first of all. It will not stop iterating until Genetic Algorithm evolves into a certain degree or network errors satisfies the requirements, and delivers the best chromosome we get to Neural Network. Then BP trains the data that runs through the Neural Network, which is Neural Network's second training. Finally, the paper applies the new way in the Mine Clearance experiment. By comparing this experiment with only using Genetic Algorithm or Neural Network, it finds out that the proposed method significantly improves the minesweepers accuracy.","PeriodicalId":255477,"journal":{"name":"Proceedings of 2014 International Conference on Cloud Computing and Internet of Things","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127761353","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: 8

Cognitive theory applied to radar system 认知理论在雷达系统中的应用

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062527

Chenghong Zhou, Weiping Qian

引用次数: 2

Survey of structure from motion 从运动观察结构

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062508

Gao Yi, Luo Jianxin, Qiu Hang-ping, Wu Bo

引用次数: 7

An efficient and robust one-time message authentication code scheme using feature extraction of iris in cloud computing 基于虹膜特征提取的云计算一次性消息认证码方案

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062499

Z. Abduljabbar, Hai Jin, Deqing Zou, A. Yassin, Z. Hussien, M. Hussain

{"title":"An efficient and robust one-time message authentication code scheme using feature extraction of iris in cloud computing","authors":"Z. Abduljabbar, Hai Jin, Deqing Zou, A. Yassin, Z. Hussien, M. Hussain","doi":"10.1109/CCIOT.2014.7062499","DOIUrl":"https://doi.org/10.1109/CCIOT.2014.7062499","url":null,"abstract":"Cloud computing suffers from a number of problems in terms of security issues. Authentication and integrity play an important role in the security field and numerous concerns have been raised to recognizeor protect any tampering with exchanges of text between two entities (sender and receiver) within the cloud environment. Many schemes in this area can be vulnerable to well known methods of attack such as replay attack, forgery attack, dictionary, insider, and modification attacks. A robust scheme is therefore required to detect or prevent any modification or manipulation of a message during transmission. In this paper, we propose a new message authentication code (MAC) based on feature extraction of the user's iris in order to assure the integrity of the user's message. Features are extracted from the user's iris to generate a message code for each user's login and to prohibit malicious attacks such as replay, forgery and insider attacks. Our proposed scheme enjoys several important security attributes such as a user's one time bio-key, robust message anonymity, data integrity for a user's message, phase key agreement, bio-key management,and one time message code for each user's session. Finally, our security analysis and experimental results demonstrate and prove the invulnerability and efficiency of our proposed scheme.","PeriodicalId":255477,"journal":{"name":"Proceedings of 2014 International Conference on Cloud Computing and Internet of Things","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343657","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: 5

Power and performance analysis of the Graph 500 benchmark on the Single-chip Cloud Computer 图500基准测试在单芯片云计算机上的功耗和性能分析

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062496

Zhiquan Lai, King Tin Lam, Cho-Li Wang, Jinshu Su

引用次数: 0

Small file access optimization based on GlusterFS 基于GlusterFS的小文件访问优化

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062514

Xie Tao, Liang Alei

引用次数: 6

An improved online multiple kernel classification algorithm based on double updating online learning 基于双更新在线学习的改进在线多核分类算法

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062516

Y. Xiao, Shangping Zhong

引用次数: 2

Publicly verifiable delegation of set intersection 集合交集的公开可验证委托

Proceedings of 2014 International Conference on Cloud Computing and Internet of Things Pub Date : 2014-12-01 DOI: 10.1109/CCIOT.2014.7062500

Tingting Wang, Yanqin Zhu, Xizhao Luo

{"title":"Publicly verifiable delegation of set intersection","authors":"Tingting Wang, Yanqin Zhu, Xizhao Luo","doi":"10.1109/CCIOT.2014.7062500","DOIUrl":"https://doi.org/10.1109/CCIOT.2014.7062500","url":null,"abstract":"We study the verifiable delegation of set intersection in the model of authenticated data structures, where a weak client in storage and computation stores its dataset composed of some sets into a powerful server. The client can issue update and set intersection query over outsourced data. The server returns the result and a proof of its correctness. Our scheme allows any entity to publicly verify the correctness of set intersection query, and requires no secret key. Based on characteristic polynomials of sets, our authenticated data structure firstly provides a practical and specific method for set intersection through polynomial evaluations. It achieves optimal verification and proof complexity, as well as optimal update complexity without bearing any extra space overhead. The overhead for computing actual answer and proofs is reduced significantly in contrast with previous methods based on bilinear-map accumulators. The intersection query comes up in keyword search, database queries and other applications. Indeed, our scheme can be effectively used in such scenarios. The security of our constructions is based on co-Computational Diffie-Hellman assumption.","PeriodicalId":255477,"journal":{"name":"Proceedings of 2014 International Conference on Cloud Computing and Internet of Things","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122201816","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: 3