P. Elzinga, Jonas Poelmans, Stijn Viaene, G. Dedene, S. Morsing
{"title":"Terrorist threat assessment with formal concept analysis","authors":"P. Elzinga, Jonas Poelmans, Stijn Viaene, G. Dedene, S. Morsing","doi":"10.1109/ISI.2010.5484773","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484773","url":null,"abstract":"The National Police Service Agency of the Netherlands developed a model to classify (potential) jihadists in four sequential phases of radicalism. The goal of the model is to signal the potential jihadist as early as possible to prevent him or her to enter the next phase. This model has up till now, never been used to actively find new subjects. In this paper, we use Formal Concept Analysis to extract and visualize potential jihadists in the different phases of radicalism from a large set of reports describing police observations. We employ Temporal Concept Analysis to visualize how a possible jihadist radicalizes over time. The combination of these instruments allows for easy decision-making on where and when to act.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451811","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}
William N. Reynolds, Marta S. Weber, R. Farber, Courtney Corley, A. Cowell, M. Gregory
{"title":"Social media and social reality","authors":"William N. Reynolds, Marta S. Weber, R. Farber, Courtney Corley, A. Cowell, M. Gregory","doi":"10.1109/ISI.2010.5484733","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484733","url":null,"abstract":"Social Media provide an exciting and novel view into social phenomena. The vast amounts of data that can be gathered from the Internet coupled with massively parallel supercomputers such as the Cray XMT open new vistas for research. Conclusions drawn from such analysis must recognize that social media are distinct from the underlying social reality. Rigorous validation is essential. This paper briefly presents results obtained from computational analysis of social media - utilizing both blog and twitter data. Validation of these results is discussed in the context of a framework of established methodologies from the social sciences. Finally, an outline for a set of supporting studies is proposed.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288775","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}
G. L'Huillier, A. Hevia, R. Weber, Sebastián A. Ríos
{"title":"Latent semantic analysis and keyword extraction for phishing classification","authors":"G. L'Huillier, A. Hevia, R. Weber, Sebastián A. Ríos","doi":"10.1109/ISI.2010.5484762","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484762","url":null,"abstract":"Phishing email fraud has been considered as one of the main cyber-threats over the last years. Its development has been closely related to social engineering techniques, where different fraud strategies are used to deceit a naïve email user. In this work, a latent semantic analysis and text mining methodology is proposed for the characterisation of such strategies, and further classification using supervised learning algorithms. Results obtained showed that the feature set obtained in this work is competitive against previous phishing feature extraction methodologies, achieving promising results over different benchmark machine learning classification techniques.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116355323","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}
{"title":"Study of effect of node seniority in social networks","authors":"Baojun Qiu, K. Ivanova, J. Yen, Peng Liu","doi":"10.1109/ISI.2010.5484756","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484756","url":null,"abstract":"In evolving social networks, nodes join, make connections, or leave over time. In this paper, we introduce node event sequences that record activities of every node over time. Node event sequences are suitable for microscopic analysis of node behaviors in social networks. As preliminary results of taking advantage of node event sequences (as well as snapshots of networks), we study the health of the community of Nanotechnology based on the analysis of Seniority of nodes, identify the intrinsic dynamics of formation of new edges and its relation to Seniority of nodes, and the changes in the node behavior according to the nodes' Seniority.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368767","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}
{"title":"Balancing security and information sharing in intelligence databases","authors":"A. Badia","doi":"10.1109/ISI.2010.5484770","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484770","url":null,"abstract":"We analyze the restrictions to information sharing imposed by MultiLevel Secure Databases. We offer several measures to quantify the information loss due to security levels, and propose the problem of minimizing such loss without allowing users to access information above their security clearance. We give a partial solution to the problem, and discuss some of its shortcomings.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272468","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}
{"title":"Comparing the virtual linkage intensity and real world proximity of social movements","authors":"David Zimbra, Hsinchun Chen","doi":"10.1109/ISI.2010.5484759","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484759","url":null,"abstract":"The relationships between phenomena observed in the real world and their representations in virtual contexts have generated interest among researchers. In particular, the manifestations of social movements in virtual environments have been examined, with many studies dedicated to the analysis of the virtual linkages between groups. In this research, a form of link analysis was performed to examine the relationship between virtual linkage intensity and real world physical proximity among the social movement groups identified in the Southern Poverty Law Center Spring 2009 Intelligence Report. Findings indicate the existence of significant relationships between virtual linkage intensity and physical proximity, distinctive to various ideological categorizations. The results provide valuable insights into the behaviors of social movements in virtual environments.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130347032","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}
Andrew J. Park, Valerie Spicer, Monique Guterres, P. Brantingham, Greg Jenion
{"title":"Testing perception of crime in a virtual environment","authors":"Andrew J. Park, Valerie Spicer, Monique Guterres, P. Brantingham, Greg Jenion","doi":"10.1109/ISI.2010.5484785","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484785","url":null,"abstract":"Fear of crime is a central topic in the field of victimization. In particular, criminologists are interested in the environmental structures and cues that generate fear. Research has shown that fear of crime has a direct impact on pedestrian navigation through the urban setting. Most studies have used traditional methods such as surveys or interviews. Researchers have debated the methodological issues stemming from these methods. This article introduces two explorative studies which use a virtual environment (VE) as a research tool for the study of fear of crime. The benefits associated to using VEs in this field of research are discussed. The development, implementation and results of these two studies are presented. The limitations and future directions of VE experiments are discussed.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124672906","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}
{"title":"Identifing influential users in an online healthcare social network","authors":"Xuning Tang, Christopher C. Yang","doi":"10.1109/ISI.2010.5484779","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484779","url":null,"abstract":"As an important information portal, online healthcare forum are playing an increasingly crucial role in disseminating information and offering support to people. It connects people with the leading medical experts and others who have similar experiences. During an epidemic outbreak, such as H1N1, it is critical for the health department to understand how the public is responding to the ongoing pandemic, which has a great impact on the social stability. In this case, identifying influential users in the online healthcare forum and tracking the information spreading in such online community can be an effective way to understand the public reaction toward the disease. In this paper, we propose a framework to monitor and identify influential users from online healthcare forum. We first develop a mechanism to identify and construct social networks from the discussion board of an online healthcare forum. We propose the UserRank algorithm which combines link analysis and content analysis techniques to identify influential users. We have also conducted an experiment to evaluate our approach on the Swine Flu forum which is a sub-community of a popular online healthcare community, MedHelp (www.medhelp.org). Experimental results show that our technique outperforms PageRank, in-degree and out-degree centrality in identifying influential user from an online healthcare forum.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115242017","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}
U. Glässer, Piper J. Jackson, Ali Khalili Araghi, H. Y. Shahir
{"title":"Intelligent decision support for Marine safety and Security Operations","authors":"U. Glässer, Piper J. Jackson, Ali Khalili Araghi, H. Y. Shahir","doi":"10.1109/ISI.2010.5484769","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484769","url":null,"abstract":"The architecture and core mechanisms of a decision support system for a Marine Security Operations Centre (MSOC) are presented. The goal of this system is to improve coordination in emergency response services during critical situations, including detection and prevention of illegal activities. The system design emphasizes robustness and scalability through its decentralized control structure, automated planning and replanning, dynamic resource configuration management and task execution management under uncertainty. An example scenario from the marine operations domain is described.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116764536","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}
{"title":"Secure communication between set-top box and smart card for fair use in DTV broadcasting","authors":"Wei-Bin Lee, Hsing-Bai Chen, Ching-Chih Cheng","doi":"10.1109/ISI.2010.5484755","DOIUrl":"https://doi.org/10.1109/ISI.2010.5484755","url":null,"abstract":"Existing secure communication mechanisms between set-top box and smart card in digital television broadcasting are unfair and inconvenient since the subscribers cannot receive programs for themselves on any set-top boxes owned. In this paper, a novel scheme for fair use is presented to receive programs for subscribers themselves on any set-top boxes. Moreover, the proposed scheme can prevent McCormac Hack and smart card cloning problems which are serious threats in digital television broadcasting.","PeriodicalId":434501,"journal":{"name":"2010 IEEE International Conference on Intelligence and Security Informatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115688995","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}