DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)
S Ur Rehman, M Khaliq, SI Imtiaz, A Rasool… - Future Generation …, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks can put the communication networks
in instability by throwing malicious traffic and requests in bulk over the network. Computer …
in instability by throwing malicious traffic and requests in bulk over the network. Computer …
CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …
world more closely than ever before. However, the growing number of connected devices …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
Lightweight cryptographic algorithms for guessing attack protection in complex internet of things applications
As the world keeps advancing, the need for automated interconnected devices has started to
gain significance; to cater to the condition, a new concept Internet of Things (IoT) has been …
gain significance; to cater to the condition, a new concept Internet of Things (IoT) has been …
Deep-IFS: Intrusion detection approach for industrial internet of things traffic in fog environment
M Abdel-Basset, V Chang, H Hawash… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …
Cloud-based intrusion detection approach using machine learning techniques
H Attou, A Guezzaz, S Benkirane… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Cloud computing (CC) is a novel technology that has made it easier to access network and
computer resources on demand such as storage and data management services. In …
computer resources on demand such as storage and data management services. In …
smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Interaction between devices, people, and the Internet has given birth to a new digital
communication model, the internet of things (IoT). The integration of smart devices to …
communication model, the internet of things (IoT). The integration of smart devices to …
From 3D point clouds to HBIM: application of artificial intelligence in cultural heritage
VA Cotella - Automation in Construction, 2023 - Elsevier
Interest in semantic segmentation of 3D point clouds using ML and DL has grown due to
their key role in scene insight across a wide range of computer vision, robotics and remote …
their key role in scene insight across a wide range of computer vision, robotics and remote …
Cyber-security challenges in aviation industry: A review of current and future trends
The integration of Information and Communication Technology (ICT) tools into mechanical
devices in routine use within the aviation industry has heightened cyber-security concerns …
devices in routine use within the aviation industry has heightened cyber-security concerns …