[HTML][HTML] A systematic literature review of methods and datasets for anomaly-based network intrusion detection
As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …
threatening. Network intrusion detection has been widely accepted as an effective method to …
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 …
Learning-driven detection and mitigation of DDoS attack in IoT via SDN-cloud architecture
N Ravi, SM Shalinie - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet-of-Things (IoT) network is growing big owing to its utility in smart applications.
An IoT network is susceptible to security breaches, in majority due to the resource …
An IoT network is susceptible to security breaches, in majority due to the resource …
Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
Distributed denial of service attacks and its defenses in IoT: a survey
A distributed denial of service (DDoS) attack is an attempt to partially or completely shut
down the targeted server with a flood of internet traffic. The primary aim of this attack is to …
down the targeted server with a flood of internet traffic. The primary aim of this attack is to …
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
The national security, economy, and healthcare heavily rely on the reliable distribution of
electricity. The incorporation of communication technologies and sensors in the power …
electricity. The incorporation of communication technologies and sensors in the power …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
A Wani, R Khaliq - CAAI Transactions on Intelligence …, 2021 - Wiley Online Library
The participation of ordinary devices in networking has created a world of connected
devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every …
devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every …
Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
IoT data analytics in dynamic environments: From an automated machine learning perspective
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …