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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kollias, S.K. Vlachos, V. Papanikolaou, A. Assimakopoulos, V. |
| Copyright Year | 2011 |
| 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. |
| Starting Page | 59 |
| Ending Page | 62 |
| File Size | 176534 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457715280 |
| DOI | 10.1109/SysSec.2011.18 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-06 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer malware Biological system modeling Computational modeling Time series analysis Time series Predictive models Data models Security Forecasting |
| Content Type | Text |
| Resource Type | Article |
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