IEEE International Conference on Wireless Communications, Networking and Information Security最新文献

A BP decoding algorithm based on nodes residual for LDPC codes 基于节点残差的LDPC码BP译码算法

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 2012-03-15 DOI: 10.1109/WCINS.2010.5541903

Zhong-xun Wang, Xingcheng Wang, Xinqiao Yu, D. Guo

引用次数: 4

Trust opportunistic routing protocol in multi-hop wireless networks 多跳无线网络中的信任机会路由协议

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 2010-06-01 DOI: 10.1109/WCINS.2010.5541842

Bo Wang, Chuanhe Huang, Wenzhong Yang, Tong Wang

引用次数: 17

Increase channel capacity in MIMO system by adjusting the axial ratio of circular polarized antenna 通过调节圆极化天线的轴向比，增加MIMO系统的信道容量

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541904

W. Leng, Anguo Wang

引用次数: 1

A novel hidden Markov model for detecting complicate network attacks 一种检测复杂网络攻击的隐马尔可夫模型

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541790

Zhicai Shi, Yongxiang Xia

引用次数: 9

An improved feedback cancelling method for on-channel repeater 一种改进的信道中继器反馈对消方法

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541911

Qunchao Feng, Yuanzhi Chen, Weitao Du

引用次数: 2

A novel spatial Dynamic Spectrum Allocation in the urban heterogeneous scenario 城市异构场景下一种新的空间动态频谱分配

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5543729

Zhe Ding, Yubin Xu

引用次数: 1

Growth customer information mining analysis with association rules in On-line financial Web site 基于关联规则的在线金融网站成长性客户信息挖掘分析

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541847

Z. Dai, Lu Guo

引用次数: 0

A software vulnerability analysis environment based on virtualization technology 基于虚拟化技术的软件漏洞分析环境

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541854

Chunlei Wang, Yan Wen, Yiqi Dai

{"title":"A software vulnerability analysis environment based on virtualization technology","authors":"Chunlei Wang, Yan Wen, Yiqi Dai","doi":"10.1109/WCINS.2010.5541854","DOIUrl":"https://doi.org/10.1109/WCINS.2010.5541854","url":null,"abstract":"The accurate identification and effective analysis of software vulnerabilities depends on flexible and extensible analysis environment. However, current research work cannot provide highly available environment supporting for different types of vulnerabilities. Aiming at the problem, this paper proposes a novel method for constructing software vulnerability analysis environment based upon virtualization technique, defines the system level simulation model for vulnerability analysis, and describes the simulation model based vulnerability analysis method. Based upon the simulation model and analysis method, we have designed and implemented the Virtualization-based Vulnerability Analysis Environment (VirtualVAE), which can examine the operation behaviors of guest operation system and applications at hardware level, and analyze the operation process of sensitive data in the whole system. Therefore, it can accurately simulate a wide variety of system behaviors, and provide dynamic analysis capabilities for different types of vulnerabilities. The experimental results show that it provides a flexible environment for accurately identifying and analyzing the vulnerabilities of software systems.","PeriodicalId":272940,"journal":{"name":"IEEE International Conference on Wireless Communications, Networking and Information Security","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121034048","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

Computation and analysis of node intending trust in WSNs 无线传感器网络中节点意向信任的计算与分析

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541828

Liqin Tian, Chuang Lin

{"title":"Computation and analysis of node intending trust in WSNs","authors":"Liqin Tian, Chuang Lin","doi":"10.1109/WCINS.2010.5541828","DOIUrl":"https://doi.org/10.1109/WCINS.2010.5541828","url":null,"abstract":"The resource constraints of wireless sensor network make it easy to attack and hard to protect. Although carefully designed cryptography and authentication help to make WSN securer, they are not good at dealing with compromised node and ageing node, whose misbehavior may impair the function of WSN. Behavior-based trust mechanism is considered as the effective supplement of traditional cryptography security, it has been widely studied in peer-to-peer network, the grid, and the pervasive computing environment. The evaluation of node trust is based on the past behavior evidence, but we hope to know the node future trust, so node trust prediction is important and significant for wireless sensor networks application such as routing, data fusion. The paper discusses how to based on past node trust to predict future node trust, including Bayesian Network modeling, prediction grading, computation of prior probabilities of node trust, computation of prior probabilities of node attribute and prediction of future node trust. In order to meet needs of different prediction of node trust for different purpose, we also discuss that how to get and store node past assorted behavior statistical data. Finally, discuss how to predict node trust in real system and how to control routing, data fusion based on prediction result.","PeriodicalId":272940,"journal":{"name":"IEEE International Conference on Wireless Communications, Networking and Information Security","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121214955","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

Remove multifrequency mixture noise in processing of Wireless Communication wave/radar reflect signal by method of ICA 利用ICA方法去除无线通信波/雷达反射信号处理中的多频混合噪声

IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 1900-01-01 DOI: 10.1109/WCINS.2010.5541884

Zhuo Wang, Lizhi Wang, Yong Yang

引用次数: 0