Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137324
Jing Peng, D. Zeng
Collaborative tagging sites allow users to save and annotate their favorite web contents with tags. These tags provide a novel source of information for collaborative filtering. This paper proposes a probabilistic approach to leverage information embedded in tags to improve the effectiveness of Web page recommendation in a social information management context. In our approach, the probability of a Web page visit by a user is estimated by summing up the relevance of this Web page to this user's tags, and then those pages with the highest probabilities are recommended. Experiments using two real-world collaborative tagging datasets show that our algorithms outperform the common collaborative filtering methods.
{"title":"Topic-based web page recommendation using tags","authors":"Jing Peng, D. Zeng","doi":"10.1109/ISI.2009.5137324","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137324","url":null,"abstract":"Collaborative tagging sites allow users to save and annotate their favorite web contents with tags. These tags provide a novel source of information for collaborative filtering. This paper proposes a probabilistic approach to leverage information embedded in tags to improve the effectiveness of Web page recommendation in a social information management context. In our approach, the probability of a Web page visit by a user is estimated by summing up the relevance of this Web page to this user's tags, and then those pages with the highest probabilities are recommended. Experiments using two real-world collaborative tagging datasets show that our algorithms outperform the common collaborative filtering methods.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416142","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137304
W. Eberle, L. Holder
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly detection, but little work has been done in terms of detecting anomalies in graph-based data. In this paper we present graph-based approaches to uncovering anomalies in applications containing information representing possible insider threat activity: e-mail, cell-phone calls, and order processing.
{"title":"Applying graph-based anomaly detection approaches to the discovery of insider threats","authors":"W. Eberle, L. Holder","doi":"10.1109/ISI.2009.5137304","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137304","url":null,"abstract":"The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly detection, but little work has been done in terms of detecting anomalies in graph-based data. In this paper we present graph-based approaches to uncovering anomalies in applications containing information representing possible insider threat activity: e-mail, cell-phone calls, and order processing.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348219","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137289
Li Ding, D. Steil, M. Hudnall, B. Dixon, Randy K. Smith, David Brown, A. Parrish
Information technologies such as data mining and social network analysis have been widely used in law enforcement to solve crimes. Recent research indicates that geographic profiling also plays an important role in facilitating the investigation of crimes. However, lack of integration makes those systems less helpful in practice. In this paper, we propose an integrated system called PerpSearch that will take a given description of a crime, including its location, type, and the physical description of suspects (personal characteristics or vehicles) as input. To detect suspects, the system will process these inputs through four integrated components: geographic profiling, social network analysis, crime patterns, and physical matching. Essentially, geographic profiling determines “where” the suspects are, while other components determine “who” the suspects are. We then process the results using a score engine to give investigators a ranked list of individuals. To date, we have implemented a prototype of the system based on current Alabama law enforcement data.
{"title":"PerpSearch: An integrated crime detection system","authors":"Li Ding, D. Steil, M. Hudnall, B. Dixon, Randy K. Smith, David Brown, A. Parrish","doi":"10.1109/ISI.2009.5137289","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137289","url":null,"abstract":"Information technologies such as data mining and social network analysis have been widely used in law enforcement to solve crimes. Recent research indicates that geographic profiling also plays an important role in facilitating the investigation of crimes. However, lack of integration makes those systems less helpful in practice. In this paper, we propose an integrated system called PerpSearch that will take a given description of a crime, including its location, type, and the physical description of suspects (personal characteristics or vehicles) as input. To detect suspects, the system will process these inputs through four integrated components: geographic profiling, social network analysis, crime patterns, and physical matching. Essentially, geographic profiling determines “where” the suspects are, while other components determine “who” the suspects are. We then process the results using a score engine to give investigators a ranked list of individuals. To date, we have implemented a prototype of the system based on current Alabama law enforcement data.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127385739","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137325
Michael Perelman, Ping Ji, Weifeng Chen
Online games are clearly growing as a significant component of the current and future Internet. As a major online game console, the Sony PlayStation 3 (PS3) produces more and more network traffic. People also begin to use PS3 for emails and web surfing besides playing games due to its enhanced web capabilities. Recognizing the traffic patterns of PS3 is important to network administrators whereas understanding its security is essential for users. However, traffic and security analysis of PS3 has been either done or unpublished. In this paper, we present our initial efforts on game traffic analysis for PS3 and explore the vulnerabilities of PS3 by testing a few attacking schemes on a PS3 console. The research will benefit both network administrators and PS3 users to understand the PS3 systems better.
{"title":"Traffic and security analysis on Sony Playstation 3","authors":"Michael Perelman, Ping Ji, Weifeng Chen","doi":"10.1109/ISI.2009.5137325","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137325","url":null,"abstract":"Online games are clearly growing as a significant component of the current and future Internet. As a major online game console, the Sony PlayStation 3 (PS3) produces more and more network traffic. People also begin to use PS3 for emails and web surfing besides playing games due to its enhanced web capabilities. Recognizing the traffic patterns of PS3 is important to network administrators whereas understanding its security is essential for users. However, traffic and security analysis of PS3 has been either done or unpublished. In this paper, we present our initial efforts on game traffic analysis for PS3 and explore the vulnerabilities of PS3 by testing a few attacking schemes on a PS3 console. The research will benefit both network administrators and PS3 users to understand the PS3 systems better.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229663","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137282
Yanjun Zuo, B. Panda
This paper presents a framework to enhance a system's survivability to thwart malicious attacks and to continuously provide critical services to users. We focus on two key survivability elements: strategy and tactic. The latter further includes a set of activities and operations. We show how survivability activities are developed in light of tactics to implement the chosen survivability strategies in face of malicious attacks. An example of military command and control system is presented, where a set of survivability activities are specified to carry out two strategies: dynamic system reconfiguration and transparent system repairs. An architectural model is proposed to facilitate system design in building survivable systems.
{"title":"Unifying strategies and tactics: A survivability framework for countering cyber attacks","authors":"Yanjun Zuo, B. Panda","doi":"10.1109/ISI.2009.5137282","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137282","url":null,"abstract":"This paper presents a framework to enhance a system's survivability to thwart malicious attacks and to continuously provide critical services to users. We focus on two key survivability elements: strategy and tactic. The latter further includes a set of activities and operations. We show how survivability activities are developed in light of tactics to implement the chosen survivability strategies in face of malicious attacks. An example of military command and control system is presented, where a set of survivability activities are specified to carry out two strategies: dynamic system reconfiguration and transparent system repairs. An architectural model is proposed to facilitate system design in building survivable systems.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127274136","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137307
Daniel T. Schmitt, S. Kurkowski, M. Mendenhall
Social networks are a beneficial analysis tool in counterterrorism and counterinsurgent activities. The difficulty lies in the amount of time and resources it takes to construct a social network. By exploiting existing 24-hour overhead persistent video, we can build a social network from vehicle to vehicle and vehicle to building interactions. This paper demonstrates building a social network from vehicle tracks based on their interactions in an urban environment. From this social network we can see relationships among actors and their locations of interest. This information provides additional intelligence about terrorist activities to exploit them.
{"title":"Building Social Networks in Persistent Video Surveillance","authors":"Daniel T. Schmitt, S. Kurkowski, M. Mendenhall","doi":"10.1109/ISI.2009.5137307","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137307","url":null,"abstract":"Social networks are a beneficial analysis tool in counterterrorism and counterinsurgent activities. The difficulty lies in the amount of time and resources it takes to construct a social network. By exploiting existing 24-hour overhead persistent video, we can build a social network from vehicle to vehicle and vehicle to building interactions. This paper demonstrates building a social network from vehicle tracks based on their interactions in an urban environment. From this social network we can see relationships among actors and their locations of interest. This information provides additional intelligence about terrorist activities to exploit them.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051038","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137274
Yulei Zhang, Shuo Zeng, Li Fan, Yan Dang, Catherine A. Larson, Hsinchun Chen
With the advent of Web 2.0, the Web is acting as a platform which enables end-user content generation. As a major type of social media in Web 2.0, Web forums facilitate intensive interactions among participants. International Jihadist groups often use Web forums to promote violence and distribute propaganda materials. These Dark Web forums are heterogeneous and widely distributed. Therefore, how to access and analyze the forum messages and interactions among participants is becoming an issue. This paper presents a general framework for Web forum data integration. Specifically, a Web-based knowledge portal, the Dark Web Forums Portal, is built based on the framework. The portal incorporates the data collected from different international Jihadist forums and provides several important analysis functions, including forum browsing and searching (in single forum and across multiple forums), forum statistics analysis, multilingual translation, and social network visualization. Preliminary results of our user study show that the Dark Web Forums Portal helps users locate information quickly and effectively. Users found the forum statistics analysis, multilingual translation, and social network visualization functions of the portal to be particularly valuable.
{"title":"Dark web forums portal: Searching and analyzing jihadist forums","authors":"Yulei Zhang, Shuo Zeng, Li Fan, Yan Dang, Catherine A. Larson, Hsinchun Chen","doi":"10.1109/ISI.2009.5137274","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137274","url":null,"abstract":"With the advent of Web 2.0, the Web is acting as a platform which enables end-user content generation. As a major type of social media in Web 2.0, Web forums facilitate intensive interactions among participants. International Jihadist groups often use Web forums to promote violence and distribute propaganda materials. These Dark Web forums are heterogeneous and widely distributed. Therefore, how to access and analyze the forum messages and interactions among participants is becoming an issue. This paper presents a general framework for Web forum data integration. Specifically, a Web-based knowledge portal, the Dark Web Forums Portal, is built based on the framework. The portal incorporates the data collected from different international Jihadist forums and provides several important analysis functions, including forum browsing and searching (in single forum and across multiple forums), forum statistics analysis, multilingual translation, and social network visualization. Preliminary results of our user study show that the Dark Web Forums Portal helps users locate information quickly and effectively. Users found the forum statistics analysis, multilingual translation, and social network visualization functions of the portal to be particularly valuable.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131002275","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137291
D. Breitkreutz, Ickjai Lee
Privacy and data explosion issues are major concerns in intelligence and security informatics. An areal data representation is a popular way to overcome these two issues. As data grows at an unprecedented rate, there still needs an improvement in area data representations to be more scalable. This paper determines the potential for an alternative areal representation that can offer performance benefits over traditional methods for use within data-rich environments. From the experiments performed, improvements are promising, especially within time-critical applications that need to consider large amounts of data quickly.
{"title":"Voronoi representation for areal data processing in data-rich environments","authors":"D. Breitkreutz, Ickjai Lee","doi":"10.1109/ISI.2009.5137291","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137291","url":null,"abstract":"Privacy and data explosion issues are major concerns in intelligence and security informatics. An areal data representation is a popular way to overcome these two issues. As data grows at an unprecedented rate, there still needs an improvement in area data representations to be more scalable. This paper determines the potential for an alternative areal representation that can offer performance benefits over traditional methods for use within data-rich environments. From the experiments performed, improvements are promising, especially within time-critical applications that need to consider large amounts of data quickly.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132381115","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137290
Chengyang Zhang, Y. Huang, Rada Mihalcea, Hector Cuellar
Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related spatial queries. The system has two main advantages compared with interfaces such as Google Maps: (1) It allows query conditions to be expressed in natural language, and (2) It supports a larger number of spatial predicates, such as “within 3 miles” and “close to”. The system is evaluated using a set of crime-related queries run against a dataset that contains many spatial layers in the Denton, Texas area. The results show that our approach significantly outperforms Google Maps when processing complicated spatial queries.
{"title":"A natural language interface for crime-related spatial queries","authors":"Chengyang Zhang, Y. Huang, Rada Mihalcea, Hector Cuellar","doi":"10.1109/ISI.2009.5137290","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137290","url":null,"abstract":"Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related spatial queries. The system has two main advantages compared with interfaces such as Google Maps: (1) It allows query conditions to be expressed in natural language, and (2) It supports a larger number of spatial predicates, such as “within 3 miles” and “close to”. The system is evaluated using a set of crime-related queries run against a dataset that contains many spatial layers in the Denton, Texas area. The results show that our approach significantly outperforms Google Maps when processing complicated spatial queries.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124423154","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}
Pub Date : 2009-06-08DOI: 10.1109/ISI.2009.5137281
Ann-Marie Horcher, G. Tejay
User passwords are the gateway to an organization's assets. When users are the agents selecting passwords, they are the key component to improving passwords. Users must be persuaded to select passwords difficult to compromise. User behavior can be influenced by information security training. This study examines the use of cognitive load theory to design the information security training on password strength. The comprehension of training is measured by an examination of passwords selected after the training.
{"title":"Building a better password: The role of cognitive load in information security training","authors":"Ann-Marie Horcher, G. Tejay","doi":"10.1109/ISI.2009.5137281","DOIUrl":"https://doi.org/10.1109/ISI.2009.5137281","url":null,"abstract":"User passwords are the gateway to an organization's assets. When users are the agents selecting passwords, they are the key component to improving passwords. Users must be persuaded to select passwords difficult to compromise. User behavior can be influenced by information security training. This study examines the use of cognitive load theory to design the information security training on password strength. The comprehension of training is measured by an examination of passwords selected after the training.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114596553","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}
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