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

Kollias, SK; Vlachos, V; Papanikolaou, A; Assimakopoulos, V

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	https://dspace.lib.ntua.gr/xmlui/handle/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