Efficient Complex Event Processing in Intrusion Detection System Using CNN-BiLSTM Model
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Publisher
Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-97-3817-5_39
Reference20 articles.
1. Vinayakumar R, Soman KP, Poornachandran P, Applying convolutional neural networks for network intrusion detection, pp 812–6009. https://doi.org/10.1109/ICACCI.2017.8126009
2. Aljawarneh S et al (2018) Signature-based intrusion detection sys- tem through feature selection analysis and building hybrid efficient models. J Comput Sci 25:152–160
3. Sandosh S, Govindasamy V, Akila G (2020) Enhanced intrusion detection system via agent clustering and classification based on outlier detection. Peer-to-Peer Netw Appl. https://doi.org/10.1007/s12083-019-00822-3. Springer
4. Creech G, Hu J (2013) Generation of a new IDS test dataset: time to retire the KDD collection. In: IEEE wireless communications and networking conference (WCNC). IEEE, pp 4487–4492
5. Sandosh S, Govindasamy V, Akila G (2020) Enhanced learning vector quantization for detecting intrusions in IDS. Int J Web Portals 12(1)
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