Čeponis et al., 2018 - Google Patents
Towards a robust method of dataset generation of malicious activity for anomaly-based HIDS training and presentation of AWSCTD datasetČeponis et al., 2018
View PDF- Document ID
- 11407228485036268073
- Author
- Čeponis D
- Goranin N
- Publication year
- Publication venue
- Baltic Journal of Modern Computing
External Links
Snippet
Classical signature-based attack detection methods demonstrate stagnation and inability to fight the zero-day and similar attacks, while anomaly-based detection methods are still characterized by huge numbers of false-positives. The progress achieved in recent years in …
- 230000000694 effects 0 title abstract description 25
Classifications
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- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/562—Static detection
- G06F21/563—Static detection by source code analysis
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