SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network
The ability of cybercriminals tohide their intentionto attack obstructs existingprotectionsystems causing the system to be unable to prevent any possible sabotage in network systems. In this paper, we propose a Similarity approach for Attack Intention Recognition using Fuzzy Min-Max Neural Network (...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23820/ http://umpir.ump.edu.my/id/eprint/23820/ http://umpir.ump.edu.my/id/eprint/23820/ http://umpir.ump.edu.my/id/eprint/23820/1/SAIRF%20A%20similarity%20approach%20for%20attack%20intention%20recognition.pdf |