Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks
The wide dispersion of the Internet of Things (IoT), Software-defined Networks and Cloud
Computing have given the wings to Cyber–Physical System adoption. The newfangled …
Computing have given the wings to Cyber–Physical System adoption. The newfangled …
Review of recent detection methods for HTTP DDoS attack
With increment in dependency on web technology, a commensurate increase has been
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
Smart detection: an online approach for DoS/DDoS attack detection using machine learning
FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …
(DoS) attacks. This cyber threat continues to grow even with the development of new …
The DDoS attacks detection through machine learning and statistical methods in SDN
The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …
defined network (SDN). The different limitations of the existing DDoS detection methods …
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network
Abstract The Internet of Things (IoT) paradigm brings new and promising possibilities for
services and products. The heterogeneity of IoT devices highlights the inefficiency of …
services and products. The heterogeneity of IoT devices highlights the inefficiency of …
DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks
Abstract Wireless Sensor Networks (WSNs) include small battery-based self-governing
devices that are deployed in a distributed manner to supervise the environmental or physical …
devices that are deployed in a distributed manner to supervise the environmental or physical …
Intrusion detection systems: A cross-domain overview
Nowadays, network technologies are essential for transferring and storing various
information of users, companies, and industries. However, the growth of the information …
information of users, companies, and industries. However, the growth of the information …
The hybrid technique for DDoS detection with supervised learning algorithms
S Hosseini, M Azizi - Computer Networks, 2019 - Elsevier
Distributed denial of service (DDoS) is still one of the main threats of the online services.
Attackers are able to run DDoS with simple steps and high efficiency in order to prevent or …
Attackers are able to run DDoS with simple steps and high efficiency in order to prevent or …
SDN-based intrusion detection system for early detection and mitigation of DDoS attacks
The current paper addresses relevant network security vulnerabilities introduced by network
devices within the emerging paradigm of Internet of Things (IoT) as well as the urgent need …
devices within the emerging paradigm of Internet of Things (IoT) as well as the urgent need …