An ensemble deep learning based IDS for IoT using Lambda architecture
R Alghamdi, M Bellaiche - Cybersecurity, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized our world today by providing greater
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
levels of accessibility, connectivity and ease to our everyday lives. It enables massive …
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 …
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 …
Survey of intrusion detection systems towards an end to end secure internet of things
AA Gendreau, M Moorman - … on future internet of things and …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the largest technological evolutions of computing, by
2022 it is estimated that a trillion IP addresses (objects) will be connected to the Internet. The …
2022 it is estimated that a trillion IP addresses (objects) will be connected to the Internet. The …
Towards deep-learning-driven intrusion detection for the internet of things
G Thamilarasu, S Chawla - Sensors, 2019 - mdpi.com
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …
applications, and communication networks are becoming increasingly connected and …
Voting classifier-based intrusion detection for iot networks
Abstract Internet of Things (IoT) is transforming human lives by paving the way for the
management of physical devices on the edge. These interconnected IoT objects share data …
management of physical devices on the edge. These interconnected IoT objects share data …
IoT threat detection advances, challenges and future directions
It is predicted that, the number of connected Internet of Things (IoT) devices will rise to 38.6
billion by 2025 and an estimated 50 billion by 2030. The increased deployment of IoT …
billion by 2025 and an estimated 50 billion by 2030. The increased deployment of IoT …
Intrusion detection systems in the Internet of things: A comprehensive investigation
S Hajiheidari, K Wakil, M Badri, NJ Navimipour - Computer Networks, 2019 - Elsevier
Recently, a new dimension of intelligent objects has been provided by reducing the power
consumption of electrical appliances. Daily physical objects have been upgraded by …
consumption of electrical appliances. Daily physical objects have been upgraded by …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks
SA Khanday, H Fatima, N Rakesh - Expert Systems with Applications, 2023 - Elsevier
Protecting IoT networks and infrastructure is one of the top priorities in today's computing
industry because of the unnerving and exponential development in cyberattacks and …
industry because of the unnerving and exponential development in cyberattacks and …