A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Integration of Fuzzy with Incremental Import Vector Machine for Intrusion Detection
2022
International Journal of Computers Communications & Control
IDM design and implementation remain a difficult undertaking and an unsolved research topic. Multi-dimensional irrelevant characteristics and duplicate information are included in the network dataset. To boost the effectiveness of IDM, a novel hybrid model is developed that combines Fuzzy Genetic Algorithms with Increment Import Vector Machines (FGA-I2VM), which works with huge amounts of both normal and aberrant network data with high detecting accuracy and low false alarm rates. The
doi:10.15837/ijccc.2022.3.4481
fatcat:mt6hugoqfnb6lgqujbgcjyzfxm