2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery最新文献_第2页

Capacity of Hybrid Spectrum Sharing System and Analysis Model in Cognitive Radio 认知无线电中混合频谱共享系统容量及分析模型

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.87

Xiaorong Zhu, Yong Wang

引用次数: 1

Amazon Kindle Fire from a Digital Forensics Perspective 从数字取证的角度分析亚马逊Kindle Fire

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.61

Babar Iqbal, Asif Iqbal, Mário A. M. Guimarães, Kashif Khan, Hanan Al Obaidli

{"title":"Amazon Kindle Fire from a Digital Forensics Perspective","authors":"Babar Iqbal, Asif Iqbal, Mário A. M. Guimarães, Kashif Khan, Hanan Al Obaidli","doi":"10.1109/CyberC.2012.61","DOIUrl":"https://doi.org/10.1109/CyberC.2012.61","url":null,"abstract":"With the move toward mobile computing being the trend of this technology era it is clear that our way of life and how we deal with objects in it is changing. This swift shift from large desktop computers to inexpensive, low power applications that are easily carried in our pockets or placed next to a cup of coffee on the living room table clearly changed the way we interact with media and contact friends, colleagues and family members. This also created advancement in the field of digital forensics as with every device coming to the market, studies have been conducted to investigate the possible evidence that can be found on them. As we realize that with the comfort these devices do provide as a result of their mobility they are also providing a wealth of information about the users themselves for the same reason, hence they are really valuable source of evidence in an investigation. In this paper we will discuss one of these mobile devices which is Amazon kindle Fire. Being a new player in the mobile computing sector there haven't been enough studies of it in the field of digital forensics regarding it. In this paper we will discuss an imaging process to acquire the data from the device then we will provide an analysis of these data and their possible sources of evidence.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129869386","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

Scrapy-Based Crawling and User-Behavior Characteristics Analysis on Taobao 基于scrapy的抓取及淘宝用户行为特征分析

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.17

Jing Wang, Yuchun Guo

{"title":"Scrapy-Based Crawling and User-Behavior Characteristics Analysis on Taobao","authors":"Jing Wang, Yuchun Guo","doi":"10.1109/CyberC.2012.17","DOIUrl":"https://doi.org/10.1109/CyberC.2012.17","url":null,"abstract":"The widespread use of Internet provides a good environment for e-commerce. Study on e-commerce network characteristics always focuses on the Taobao. So far, researches based on Taobao are related to credit rating system, marketing strategy, analysis of characteristics of the seller and so on. The purpose of all these studies is to analyze online marketing transactions in e-commerce. In this paper, we analyze e-commerce network from the perspective of graph theory. Our contributions lie in two aspects as following: (1) crawl Taobao share-platform using Scrapy crawl architecture. After analyzing format of web pages in Taobao deeply, combined with the BFS and MHRW two kinds of sampling methods, we ran crawler on five PCs for 30 days. Besides, we list some big problems encountered in the crawling process, then give the final solution. In addition, we crawled one type of sellers' data in order to analyze relationships between sellers and buyers. (2) Analyze characteristics of users' behavior in Taobao share-platform based on obtained dataset. We intend to find the relationships between sellers and buyers connected by items in share-platform. Surprisingly, we find that share-platform is a tool for some buyers to advertise items for sellers who have high credit score, and other buyers only to help them to support the platform.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124888649","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: 43

Improved Solution to TCP Incast Problem in Data Center Networks 数据中心网络中TCP连接问题的改进解决方案

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.78

Kai Chen, Hongyun Zheng, Yongxiang Zhao, Yuchun Guo

引用次数: 5

BTMD: A Framework of Binary Translation Based Malcode Detector BTMD:一个基于二进制翻译的恶意码检测框架

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.16

Zheng Shan, Haoran Guo, J. Pang

引用次数: 5

Visual Analytic Agent-Based Framework for Intrusion Alert Analysis 基于视觉分析代理的入侵警报分析框架

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.41

Riyanat Shittu, A. Healing, R. Bloomfield, M. Rajarajan

{"title":"Visual Analytic Agent-Based Framework for Intrusion Alert Analysis","authors":"Riyanat Shittu, A. Healing, R. Bloomfield, M. Rajarajan","doi":"10.1109/CyberC.2012.41","DOIUrl":"https://doi.org/10.1109/CyberC.2012.41","url":null,"abstract":"A large amount of research effort is focused on developing methods for correlating network intrusion alerts, so as to better understand a network's current security state. The accuracy of traditional static methods of correlation is however limited in large-scale complex systems, where the degree of human insight and validation necessary is higher, and dynamic attack behaviours are likely. Many recent efforts have centred around visualising security data in a way that can better involve and support a human analyst in the network security triage process but this potentially gives rise to another complex system of analytical and visual components which need to be configured, trained and understood. This paper describes an agent-based framework designed to manage a set of visual analytic components in order to improve a security analyst's understanding and ability to classify the threats to the network that they govern. In the proof-of-concept system an agent selects the most effective method for event aggregation, given a particular set of events which have been generated by an Intrusion Detection System (IDS). We present a novel application of a dynamic response model in order to configure the aggregation component such that the data is best simplified for more effective further analysis.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133334320","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: 6

Online and Intelligent Route Decision-Making from the Public Health DataSet 基于公共卫生数据集的在线智能路径决策

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.82

Xingyun Geng, Li Wang, Dong Zhou, Huiqun Wu, Wen Cao, Yuanpeng Zhang, Yalan Chen, Weijia Lu, Kui Jiang, Jiancheng Dong

引用次数: 0

A Coarse-to-Fine Approach for Motion Pattern Discovery 一种由粗到精的运动模式发现方法

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.95

Bolun Cai, Zhifeng Luo, Kerui Li

引用次数: 0

Exploiting Attribute Redundancy in Extracting Open Source Forge Websites 利用属性冗余提取开源伪造网站

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.12

Xiang Li, Yanxu Zhu, Gang Yin, Tao Wang, Huaimin Wang

{"title":"Exploiting Attribute Redundancy in Extracting Open Source Forge Websites","authors":"Xiang Li, Yanxu Zhu, Gang Yin, Tao Wang, Huaimin Wang","doi":"10.1109/CyberC.2012.12","DOIUrl":"https://doi.org/10.1109/CyberC.2012.12","url":null,"abstract":"Open Source Forge (OSF) websites provide information on massive open source software projects, extracting these web data is important for open source research. Traditional extraction methods use string matching among pages to detect page template, which is time-consuming. A recent work published in VLDB exploits redundant entities among websites to detect web page coordinates of these entities. The experiment gives good results when these coordinates are used for extracting other entities of the target site. However, OSF websites have few redundant project entities. This paper proposes a modified version of that redundancy-based method tailored for OSF websites, which relies on a similar yet weaker presumption that entity attributes are redundant rather than whole entities. Like the previous work, we also construct a seed database to detect web page coordinates of the redundancies, but all at the attribute-level. In addition, we apply attribute name verification to reduce false positives during extraction. The experiment result indicates that our approach is competent in extracting OSF websites, in which scenario the previous method can not be applied.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"132 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810171","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: 4

Keystroke Dynamics for Continuous Access Control Enforcement 连续访问控制执行的击键动力学

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2012-10-10 DOI: 10.1109/CyberC.2012.43

João Ferreira, H. Santos

{"title":"Keystroke Dynamics for Continuous Access Control Enforcement","authors":"João Ferreira, H. Santos","doi":"10.1109/CyberC.2012.43","DOIUrl":"https://doi.org/10.1109/CyberC.2012.43","url":null,"abstract":"The weak connection between human users and their digital identities is often the target vulnerability explored by attacks to information systems. Currently, authentication mechanisms are the only barrier to prevent those attacks. Traditional password-based authentication is efficient (especially from the user point of view), but not effective -- the lack of continuous verification is a severe access control vulnerability. To overcome this issue, continuous identity monitoring is needed, operating in similar fashion to that of Intrusion Detection Systems (IDSs). However, traditional host-based IDSs are system-centric -- they monitor system events but fail on flagging malicious activity from intruders with access to the legitimate user's credentials. Therefore, extending the IDS concept to the user authentication level appears as a promising security control. The need to distinguish human users (user-centric anomaly-based detection) leads to the use of biometric features. In this paper we present a secure, reliable, inexpensive and non-intrusive technique for complementing traditional static authentication mechanisms with continuous identity verification, based on keystroke dynamics biometrics.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134176302","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: 15