A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-021-10037-9.pdf
Reference275 articles.
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3. Agrawal S, Agrawal J (2015) Survey on anomaly detection using data mining techniques. Procedia Comput Sci 60:708–713
4. Ahmad AB Iftikhar and, Alghamdi AS (2009) Application of artificial neural network in detection of probing attacks. In: IEEE symposium on industrial electronics and applications, 2009. ISIEA 2009, vol 2. IEEE, pp 557–562
5. Ahmad I, Basheri M, Iqbal MJ, Rahim A (2018) Performance comparison of support vector machine, random forest, and extreme learning machine for intrusion detection. IEEE Access 6:33789–33795
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