Table 1 Summary of recent works.
From: DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system
Research Work | Features | Algorithms of classification | Detection method |
---|---|---|---|
Huang et al. (2022)20 | Machine learning, SDN controller | K-means algorithm | Joint K-means clustering |
Deng et al. (2022)19 | Optimization problem, CNN, GNN, LSTM | GCDRL | MEC-enabled SDVN system |
Zhou et al. (2022)18 | Identity-based encryption, 6G | Deep learning-based approaches | DL based |
Li et al. (2022)17 | Ddosflowgen, hping3, Shenzhen taxicabs | Reinforcement learning | FAST |
Li et al. (2021)16 | Temporal index, F2MD dataset | FQDC, entropy theory | Real-Time Edge Detection Scheme |
Kim et al. (2020)15 | CPU, network, and memory | CNN | ISRM-AI |
Poongodi et al. (2019)14 | Frequency value statistics, trust hypothesis statistics, residual energy, trust policy | Trust mechanism | Trust based |
Gao et al. (2019)13 | Spark and HDFS, NSL-KDD, and UNSW-NB15 datasets | RF | Big data technologies based |
Poongodi et al. (2019)12 | Rule frequency and entropy value, belief score | reCAPTCHA controller technique | reCAPTCHA controller technique |
Guo et al. (2018)11 | Trigger mechanism, multidimensional information | SVM | SDN based |