A signature-based intrusion detection system for the internet of things
Internet of Things (IoT) is envisioned as a transformative approach with a wide range of
applications in various sectors such as home automation, industrial control, and agriculture …
applications in various sectors such as home automation, industrial control, and agriculture …
Intrusion detection system for Internet of Things based on a machine learning approach
C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …
damage caused by Internet of things attacks is more serious than for traditional network …
Multi-level host-based intrusion detection system for Internet of things
R Gassais, N Ezzati-Jivan, JM Fernandez… - Journal of Cloud …, 2020 - Springer
The growth of the Internet of things (IoT) has ushered in a new area of inter-connectivity and
innovation in the home. Many devices, once separate, can now be interacted with remotely …
innovation in the home. Many devices, once separate, can now be interacted with remotely …
Intrusion detection system on IoT with 5G network using deep learning
N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …
communications networks are increasing at exponential speed. As problems caused by the …
[PDF][PDF] Towards Machine Learning Based Intrusion Detection in IoT Networks.
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart
nodes that communicate with each other without human intervention. In recent years, IoT …
nodes that communicate with each other without human intervention. In recent years, IoT …
Malicious insider attack detection in IoTs using data analytics
Internet of Things (IoTs) are set to revolutionize our lives and are widely being adopted
nowadays. The IoT devices have a range of applications including smart homes, smart …
nowadays. The IoT devices have a range of applications including smart homes, smart …
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …
academic field. The objective of IoT is to combine the physical environment with the cyber …
Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks
JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …
environment, where security and privacy are of great importance. Our lives have significantly …
Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …
information technology, while the exponentially increasing number of tiny, connected …
An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection
M Mohy-Eddine, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract The Internet of Things (IoT) interconnects billions of sensors and actuators to serve
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …