[HTML][HTML] A framework for malicious traffic detection in IoT healthcare environment
The Internet of things (IoT) has emerged as a topic of intense interest among the research
and industrial community as it has had a revolutionary impact on human life. The rapid …
and industrial community as it has had a revolutionary impact on human life. The rapid …
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 …
FBAD: Fog-based attack detection for IoT healthcare in smart cities
The number of zero-day attacks has been exponentially increasing due to a variety of
heterogeneous Internet of Things (IoT) protocols. Many centralized-based techniques have …
heterogeneous Internet of Things (IoT) protocols. Many centralized-based techniques have …
Intrusion detection system for iot botnet attacks using deep learning
J Shareena, A Ramdas, H AP - SN Computer Science, 2021 - Springer
The IoT industry is seen intensifying its presence along these recent years. Since IoT
devices are small and heterogeneous they can easily fall prey to the cyberattacks. Handling …
devices are small and heterogeneous they can easily fall prey to the cyberattacks. Handling …
Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
Anomaly-based intrusion detection system for IoT networks through deep learning model
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …
delivering a diverse range of smart interconnected devices and applications in several …
[HTML][HTML] Integrating deep learning-based iot and fog computing with software-defined networking for detecting weapons in video surveillance systems
Due to the widespread proliferation of multimedia traffic resulting from Internet of Things
(IoT) applications and the increased use of remote multimedia-based applications, as a …
(IoT) applications and the increased use of remote multimedia-based applications, as a …
[HTML][HTML] Entropy based features distribution for anti-DDoS model in SDN
In modern network infrastructure, Distributed Denial of Service (DDoS) attacks are
considered as severe network security threats. For conventional network security tools it is …
considered as severe network security threats. For conventional network security tools it is …
A transfer double deep Q network based DDoS detection method for internet of vehicles
Z Li, Y Kong, C Jiang - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks have become one of the main factors restricting
the development of internet of vehicles (IoV). Although some intelligent reinforcement …
the development of internet of vehicles (IoV). Although some intelligent reinforcement …