A Bayesian network-based approach for learning attack strategies from intrusion alerts
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: 2013DOI: 10.1002/sec.786
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A Bayesian network-based approach for learning attack strategies from intrusion alerts
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| contributor author | Kavousi, Fatemeh | |
| contributor author | Akbari, Behzad | |
| date accessioned | 2020-03-11T06:08:09Z | |
| date available | 2020-03-11T06:08:09Z | |
| date issued | 2013 | |
| identifier other | OUZrZ9PBgWhEzPyB6tVkxeI7f8tza4OwWnAsGNfo892BiHQSP9.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/440680?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | John Wiley and Sons | |
| title | A Bayesian network-based approach for learning attack strategies from intrusion alerts | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 3339198 | |
| identifier doi | 10.1002/sec.786 | |
| journal title | Security and Communication Networks | |
| coverage | Academic | |
| pages | n/a-n/a | |
| filesize | 3064235 | |
| citations | 4 |