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Adapting econometric models, technical analysis and correlation data to computer security data

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dc.contributor.author Kollias, SK en
dc.contributor.author Vlachos, V en
dc.contributor.author Papanikolaou, A en
dc.contributor.author Assimakopoulos, V en
dc.date.accessioned 2014-03-01T02:52:51Z
dc.date.available 2014-03-01T02:52:51Z
dc.date.issued 2011 en
dc.identifier.uri http://hdl.handle.net/123456789/36117
dc.subject computer malware en
dc.subject forecasting en
dc.subject security en
dc.subject time series en
dc.subject.other Computer epidemics en
dc.subject.other Computer malware en
dc.subject.other Constant rate en
dc.subject.other Correlation data en
dc.subject.other Econometric model en
dc.subject.other Forecasting models en
dc.subject.other security en
dc.subject.other Security software en
dc.subject.other Social Networks en
dc.subject.other Technical analysis en
dc.subject.other Computer crime en
dc.subject.other Computer software en
dc.subject.other Forecasting en
dc.subject.other Time series en
dc.subject.other Security of data en
dc.title Adapting econometric models, technical analysis and correlation data to computer security data en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SysSec.2011.18 en
heal.identifier.secondary http://dx.doi.org/10.1109/SysSec.2011.18 en
heal.identifier.secondary 6092765 en
heal.publicationDate 2011 en
heal.abstract Guaranteeing the safety of computers connected to the Internet is a challenging task. Despite the efforts of contemporary security software, the threat remains due to the incapability of existing software to predict and prevent the variance of attacks. According to recent studies, new computer malware appears at an almost constant rate, making their confrontation a rather difficult task and therefore creating a need for a different approach that will increase the effectiveness of security software. This paper introduces forecasting models and techniques from the financial world. Some possible approaches are investigated, such as the correlation between computer malware incidents and extracted data from electronic social networks, that could possibly lead to effective forecasting, in an attempt to come up with new ways for preventing imminent computer epidemics. © 2011 IEEE. en
heal.journalName Proceedings - 1st SysSec Workshop, SysSec 2011 en
dc.identifier.doi 10.1109/SysSec.2011.18 en
dc.identifier.spage 59 en
dc.identifier.epage 62 en


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