A Self-Adaptive and Self-Learning Methodology for Wireless Intrusion Detection using Deep Neural Network
نویسندگان
چکیده
Cyber physical systems combine both the as well computation process. Embedded computers and monitor to control forms with feedback loops which have an effect on computations contrariwise. A vast number of failures cyber-attacks are present in cyber systems, leads a limited growth accuracy intrusion detection system thus implementing suitable actions may be taken reduce damage system. As Cyber-physical square measure but made public universally, applying instruction mechanism remains open presently. result, inconvenience is talk about way suitably apply interruption location component frameworks amid this paper. By analysing unmistakable properties frameworks, it extraordinary diagram exact necessities 1st. At that point, arranging characterize discovery introduced terms layers framework particular procedures. long last, few imperative investigation issues unit known for edifying following considers.
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education
سال: 2021
ISSN: ['1309-4653']
DOI: https://doi.org/10.17762/turcomat.v12i6.4813