HMA-ID mechanism: a hybrid mayfly optimisation based apriori approach for intrusion detection in big data application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-022-00882-6.pdf
Reference23 articles.
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3. Rathee, S., & Kashyap, A. (2018). Adaptive-Miner: An efficient distributed association rule mining algorithm on Spark. Journal of Big Data, 5(1), 6.
4. Chon, K. W., & Kim, M. S. (2018). BIGMiner: A fast and scalable distributed frequent pattern miner for big data. Cluster Computing, 21(3), 1507–1520.
5. Zhong, W., Ning, Yu., & Ai, C. (2020). Applying big data based deep learning system to intrusion detection. Big Data Mining and Analytics, 3(3), 181–195.
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