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