Research Article
RETRACTED: Computer Vision-Based Intrusion Detection System for Internet of Things
Table 1
Summary of related studies.
| | Ref. | Approach | Alg. | Dataset | Sample | Performance |
| | [8] | Machine learning | KNN
RF
DT | This sample is collected by the authors | 83 devices |
| | [9] | Deep learning | Neural network
LSTM | CISIDS
2017 | 225742 instances | 99.03% | | [10] | Machine learning | ANN | UNSW-15 | 175341 records | 84% | | [11] | Machine learning | REP tree
JRip Forest PA | CICIDS 2017 and Bot-IoT | 40000 and 5877647 | 96.6% and 96.9% | | [2] | Machine learning | NB
QDA
RF
ID3
AdaBoost
MLP
KNN | Bot-IoT | 84 network traffic |
| | [12] | Machine/deep learning | CNN
RF
MLP | Bot-IoT | 3264128 |
| | [13] | Machine learning | 3 modules
PWM
PBM
SBM | This sample is collected by the authors | 3973 | 78%
97%
99%
For 3 layers |
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