A review of intrusion detection system in IoT with machine learning approach: current and future research

EP Nugroho, T Djatna, IS Sitanggang… - … on science in …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) devices with their network services are often vulnerable to attacks
because they are not designed for security. Especially with the rapid technological advances …

Investigation of machine learning techniques in intrusion detection system for IoT network

SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …

Intrusion Detection System (DBN-IDS) for IoT using Optimization Enabled Deep Belief Neural Network

MS Deshmukh, PR Bhaladhare - 2021 5th International …, 2021 - ieeexplore.ieee.org
In the era of Internet of Things (IoT), the connection links are established from devices easily,
which is vulnerable to insecure attacks from intruders, hence intrusion detection system in …

Supervised machine learning based network intrusion detection system for Internet of Things

D Rani, NC Kaushal - 2020 11th International conference on …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is an innovative invention that can combine physical object to the
Internet with an ability to transfer and access of the data through Internet, however with the …

Machine learning and deep learning techniques for IoT-based intrusion detection systems: A literature review

L Thomas, S Bhat - International Journal of Management …, 2021 - supublication.com
Purpose: The authors attempt to examine the work done in the area of Intrusion Detection
System in IoT utilizing Machine Learning/Deep Learning technique and various accessible …

Implementation of intrusion detection system in the internet of things: A survey

S Zaman, H Tauqeer, W Ahmad… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is a precipitously evolving technology. In which interconnected
computing devices and sensors share data over the network to decipher different problems …

Performance analysis of deep learning algorithms for intrusion detection in IoT

J Jose, DV Jose - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Due to the wide availability of IoT devices at affordable cost and the ease of use has
increased IoT devices increased usage. Due to the enormous usage of the Internet of Things …

An intrusion detection system for IoT using KNN and decision-tree based classification

ZH Abdaljabar, ON Ucan… - … conference of modern …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown rapidly in recent years, intending to affect everything
from everyday life to large industrial systems. Regrettably, this has attracted the attention of …

Intrusion detection framework using an improved deep reinforcement learning technique for IoT network

P May raju, GP Gupta - … for Security Applications: Proceedings of ICSCS …, 2022 - Springer
With the exponential increase in usage of the Internet-based services in various smart cities,
and smart environment applications, several cyber-attacks are reported in recent years in …

An investigation into deep learning based network intrusion detection system for iot systems

SK Kodali, CH Muntean - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Network Intrusion Detection System (NIDS) is a crucial part of the security implementation for
service providers, organizations, and entities to protect connected devices on their networks …