Forecasting cyberattacks with incomplete, imbalanced, and insignificant data
Abstract Having the ability to forecast cyberattacks before they happen will unquestionably change the landscape of cyber warfare and cyber crime. This work predicts specific types of attacks on a potential victim network before the actual malicious actions take place. The challenge to forecasting c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-12-01
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| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42400-018-0016-5 |