2012 IEEE International Conference on Intelligence and Security Informatics最新文献_第2页

A game theory approach to deception strategy in computer mediated communication 计算机媒介通信中欺骗策略的博弈论研究

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6282258

Hsien-Ming Chou, Lina Zhou

引用次数: 6

An active binocular integrated system for intelligent robot vision 一种用于智能机器人视觉的主动双目集成系统

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284090

Yang Song, Xiaolin Zhang

引用次数: 19

Acquiring netizen group's opinions for modeling food safety events 获取网友群体对食品安全事件建模的意见

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284102

Zhangwen Tan, W. Mao, D. Zeng, Xiaochen Li, Xiuguo Bao

引用次数: 2

Predictive defense against evolving adversaries 针对不断演变的对手的预测性防御

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6283222

R. Colbaugh, K. Glass

{"title":"Predictive defense against evolving adversaries","authors":"R. Colbaugh, K. Glass","doi":"10.1109/ISI.2012.6283222","DOIUrl":"https://doi.org/10.1109/ISI.2012.6283222","url":null,"abstract":"Adaptive adversaries are a primary concern in several domains, including cyber defense, border security, counterterrorism, and fraud prevention, and consequently there is great interest in developing defenses that maintain their effectiveness in the presence of evolving adversary strategies and tactics. This paper leverages the coevolutionary relationship between attackers and defenders to derive two new approaches to predictive defense, in which future attack techniques are anticipated and these insights are incorporated into defense designs. The first method combines game theory with machine learning to model and predict future adversary actions in the learner's “feature space”; these predictions form the basis for synthesizing robust defenses. The second approach to predictive defense involves extrapolating the evolution of defense configurations forward in time, in the space of defense parameterizations, as a way of generating defenses which work well against evolving threats. Case studies with a large cyber security dataset assembled for this investigation demonstrate that each method provides effective, scalable defense against current and future attacks, outperforming gold-standard techniques. Additionally, preliminary tests indicate that a simple variant of the proposed design methodology yields defenses which are difficult for adversaries to reverse-engineer.","PeriodicalId":199734,"journal":{"name":"2012 IEEE International Conference on Intelligence and Security Informatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133871754","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: 22

Exploratory experiments to identify fake websites by using features from the network stack 探索性实验，通过使用网络堆栈的特征来识别虚假网站

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284144

J. Koepke, S. Kaza, A. Abbasi

{"title":"Exploratory experiments to identify fake websites by using features from the network stack","authors":"J. Koepke, S. Kaza, A. Abbasi","doi":"10.1109/ISI.2012.6284144","DOIUrl":"https://doi.org/10.1109/ISI.2012.6284144","url":null,"abstract":"Users on the web are unknowingly becoming more susceptible to scams from cyber deviants and malicious websites. There has been much work in the identification of malicious websites using application layer features based on content (HTML, images, links, etc.) and a plethora of classification techniques. However, there has been little work on using features from the other layers in the Open Systems Interconnection (OSI) network stack. Capturing features from the transport and internet layers of the network stack based on responses to various Hypertext Transfer Protocol (HTTP) requests may allow for increased classification accuracy. In this paper, we use learning techniques (Winnow, Logit Regression, Naïve Bayes, J48, and Bayesian) utilizing these new features to identify fake pharmacy websites. The results show that using transport and Internet layer features yields an accuracy of 80% to 95% for detecting fake websites using standard machine learning algorithms. The results suggest that many organizations may be hosting multiple websites using shared code and hosting services to enable them to produce the maximum number of fraudulent websites.","PeriodicalId":199734,"journal":{"name":"2012 IEEE International Conference on Intelligence and Security Informatics","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131818694","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

Outlier detection using semantic sensors 使用语义传感器的异常值检测

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284089

D. Skillicorn

引用次数: 1

Detecting criminal networks: SNA models are compared to proprietary models 检测犯罪网络:将SNA模型与专有模型进行比较

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284278

Fatih Özgül, Murat Gök, Z. Erdem, Yakup Ozal

引用次数: 8

An event-driven SIR model for topic diffusion in web forums 网络论坛主题扩散的事件驱动SIR模型

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284101

Jiyoung Woo, Hsinchun Chen

引用次数: 11

Graph search beyond text: Relational searches in semantic hyperlinked data 超越文本的图形搜索:语义超链接数据中的关系搜索

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284276

M. Goldberg, J. Greenman, B. Gutting, M. Magdon-Ismail, J. Schwartz, W. Wallace

引用次数: 1

Leveraging sociological models for prediction II: Early warning for complex contagions 利用社会学模型进行预测II:复杂传染病的早期预警

2012 IEEE International Conference on Intelligence and Security Informatics Pub Date : 2012-06-11 DOI: 10.1109/ISI.2012.6284094

R. Colbaugh, K. Glass

引用次数: 6