DDoS attack detection in IoT environment using optimized Elman recurrent neural networks based on chaotic bacterial colony optimization
Abstract The Internet of Things (IoT) is made up of billions of interconnected devices that can
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …
Robust DDoS Attack Detection Using Piecewise Harris Hawks Optimizer with Deep Learning for a Secure Internet of Things Environment
The Internet of Things (IoT) refers to the network of interconnected physical devices that are
embedded with software, sensors, etc., allowing them to exchange and collect information …
embedded with software, sensors, etc., allowing them to exchange and collect information …
Blockchain-assisted hybrid harris hawks optimization based deep DDoS attack detection in the IoT environment
The Internet of Things (IoT) is developing as a novel phenomenon that is applied in the
growth of several crucial applications. However, these applications continue to function on a …
growth of several crucial applications. However, these applications continue to function on a …
Unsupervised ensemble based deep learning approach for attack detection in IoT network
M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
Fuzzy-Taylor-elephant herd optimization inspired Deep Belief Network for DDoS attack detection and comparison with state-of-the-arts algorithms
S Velliangiri, HM Pandey - Future Generation Computer Systems, 2020 - Elsevier
Cloud computing environment support resource sharing as cloud service over the internet. It
enables the users to outsource data into the cloud server that can be accessed remotely …
enables the users to outsource data into the cloud server that can be accessed remotely …
A big data analytics for DDOS attack detection using optimized ensemble framework in Internet of Things
Abstract Internet of Things (IoT) devices significantly threaten tech-dependant businesses
and communities. With the rapid integration of IoT devices into local networks, a system to …
and communities. With the rapid integration of IoT devices into local networks, a system to …
An optimized weighted voting based ensemble model for DDoS attack detection and mitigation in SDN environment
In recent years, software defined networking (SDN) has risen to prominence as a cutting-
edge and promising networking approach. SDN is more secure and immune to DDoS …
edge and promising networking approach. SDN is more secure and immune to DDoS …
An intrusion detection system against DDoS attacks in IoT networks
In this paper, we present an Intrusion Detection System (IDS) using the hybridization of the
deep learning technique and the multi-objective optimization method for the detection of …
deep learning technique and the multi-objective optimization method for the detection of …
[PDF][PDF] A deep learning based approach for DDoS attack detection in IoT-enabled smart environments
UM Badamasi, S Khaliq, O Babalola… - … Journal of Computer …, 2020 - researchgate.net
This research contributes to enhance the security of smart environments such as Internet-of-
Things (IoT) network. IoT provides a big network to connect things around the world in …
Things (IoT) network. IoT provides a big network to connect things around the world in …
Nfdlm: A lightweight network flow based deep learning model for ddos attack detection in iot domains
In the recent years, Distributed Denial of Service (DDoS) attacks on Internet of Things (IoT)
devices have become one of the prime concerns to Internet users around the world. One of …
devices have become one of the prime concerns to Internet users around the world. One of …