A hybrid lightweight system for early attack detection in the IoMT fog
Cyber-attack detection via on-gadget embedded models and cloud systems are widely used
for the Internet of Medical Things (IoMT). The former has a limited computation ability …
for the Internet of Medical Things (IoMT). The former has a limited computation ability …
[HTML][HTML] GDE model: A variable intrusion detection model for few-shot attack
Y Yan, Y Yang, F Shen, M Gao, Y Gu - Journal of King Saud University …, 2023 - Elsevier
With the formation and popularity of the Internet of Things (IoT), the difficulty of protecting IoT
infrastructure and smart devices from a few-shot of ever-changing malicious attacks has …
infrastructure and smart devices from a few-shot of ever-changing malicious attacks has …
A comprehensive analysis of machine learning-and deep learning-based solutions for DDoS attack detection in SDN
Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …
efficiency compared to traditional networks. These are owing to the SDN's mutual …
Detection of application-layer DDoS attacks using machine learning and genetic algorithms
DM Sharif, H Beitollahi - Computers & Security, 2023 - Elsevier
Abstract Application-layer Distributed Denial of Service (App-DDoS) attacks continue to be a
pervasive problem in cybersecurity, despite the availability of various defensive frameworks …
pervasive problem in cybersecurity, despite the availability of various defensive frameworks …
An energy-efficient topology design and DDoS attacks mitigation for green software-defined satellite network
As the continuous in-depth research of sixth generation (6G) technology, the satellite
networks in the Space-Air-Ground Integrated Network (SAGIN) have received more and …
networks in the Space-Air-Ground Integrated Network (SAGIN) have received more and …
DDOS attack detection in SDN: Method of attacks, detection techniques, challenges and research gaps
The aim of a Software Defined Network is to provide flexibility and programmability towards
ensuring network manageability and centralized control to deal with the growing users of …
ensuring network manageability and centralized control to deal with the growing users of …
A novel cyber security model using deep transfer learning
Preventing attackers from interrupting or totally stopping critical services in cloud systems is
a vital and challenging task. Today, machine learning-based algorithms and models are …
a vital and challenging task. Today, machine learning-based algorithms and models are …
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows
Threats on computer networks have been increasing rapidly, and irresponsible parties are
always trying to exploit vulnerabilities in the network to do various dangerous things. One …
always trying to exploit vulnerabilities in the network to do various dangerous things. One …
[HTML][HTML] DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing
M Ouhssini, K Afdel, E Agherrabi, M Akouhar… - Journal of King Saud …, 2024 - Elsevier
DeepDefend is an advanced framework for real-time detection and prevention of DDoS
attacks in cloud environments. It employs deep learning techniques, notably CNN-LSTM …
attacks in cloud environments. It employs deep learning techniques, notably CNN-LSTM …
An improved rule induction based denial of service attacks classification model
For assessing the quality of any internet and cloud computing services; accessibility is
presusmed a significant factor among other Quality of Service (QoS) factors. Distributed …
presusmed a significant factor among other Quality of Service (QoS) factors. Distributed …