Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms

Previous methods for system intrusion detection have mainly consisted of those based on pattern matching that employs prior knowledge extracted from experts' domain knowledge. However, pattern matching-based methods have a major drawback that it can be bypassed through various modified techniqu...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.58088-58101
Hauptverfasser:	Kim, Czangyeob, Jang, Myeongjun, Seo, Seungwan, Park, Kyeongchan, Kang, Pilsung
Format:	Artikel
Sprache:	eng
Schlagworte:	ADFA-LD advanced persistent threat Algorithms Anomalies Anomaly detection Classification cyber security Data models Datasets Domains Embedding Feature extraction Intrusion Intrusion detection Machine learning Machine learning algorithms Pattern matching Security Support vector machines System anomaly detection system log embedding Training
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