Table 13 ANNs based frameworks, models and techniques for overall IoT security

Anitha et al. [115]

ANNIDS technique based on Multilayer Perceptron (MLP)

Using MLP for detection of attacks in IoT environment and can be used combined with IDS for better performance

Pacheco et al. [98]

ANNs based IoT security framework

An IoT framework for security of application and services is presented to address all the issues at IoT layers and ANNs is used as parametric model

Lee et al. [133]

ANNs model

ANNs based model to detect the anomalies in IoT network and provide the required solution,

Choi et al. [149]

ANNs model

A model for fraud detection and using ANNs for comparing results with other machine learning method for IoT devices

Canedo et al. [110]

ANNs approach

Securing IoT network by detecting anomalies in IoT gateway

Wu et al. [122]

Back propagation (BP) and Radial basis function (RBF)

Detection of abnormality and multi attack in IoT environment. RBP is the special class of ANN [150]

Hwang et al. [155]

Autoencoder

Autoencoder (Type of neural network) for detection of malicious traffic based on fewer packets

Luo et al. [24]

Autoencoder neural network

Autoencoder neural network mechanism for anomaly detection in wireless sensor network for IoT

Martin et al. [113]

Intrusion Detection CVAE

(ID-CVAE) method

Introduction detection mechanism based on ANNs for IoT with best classification results

Kotenko et al. [7]

MLP and neural network probabilistic approach

An approach intended to monitor, forecast and make decisions about the state of elements of IoT using an artificial neural network

Cowdrey et al. [23]

ANNs based system

Uses ANNs as optical character recognition for characters on plate to open the security gates of home based IoT system

Chatterjee et al. [82]

RF-PUF framework

A framework to enhance the security of IoT through authentication of nodes by using ANNs

Alhajri, et. al. [25]

Autoencoder

A method for detection of IoT botnet and security threat detection

Kaur et al. [22]

SAEER protocol based on ANN

A proposed method for secure routing and detection of malicious nodes in IoT network

Yavuz et al. [26]

Deep learning based method

A deep learning based machine learning method for detection of IoT routing attacks

Kumar et al. [27]

Face recognition using neural network

A smart and intelligent face recognition and navigation system for blind people in IoT for smart security

Bhavani et al. [151]

Back propagation with Ant colony algorithm

BPA is used for image flame classification in sensor based IoT system

Chiuchisan et al. [152]

ANNs (Multilayer Perceptron & Radial Basis Functions Network)

This work uses ANNs for identifying normal or Parkinson disease objects in healthcare environment

Wu et al. [153]

ANN-BP

This method uses back propagation algorithm for detection of ambiguous situation and provides disposal processes in IoT environment