Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
[HTML][HTML] Network security challenges and countermeasures for software-defined smart grids: A survey
The rise of grid modernization has been prompted by the escalating demand for power, the
deteriorating state of infrastructure, and the growing concern regarding the reliability of …
deteriorating state of infrastructure, and the growing concern regarding the reliability of …
FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks
WI Khedr, AE Gouda, ER Mohamed - IEEE Access, 2023 - ieeexplore.ieee.org
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …
security and privacy concerns more acute. Attacks such as distributed denial of service …
[HTML][HTML] Spear siem: A security information and event management system for the smart grid
The technological leap of smart technologies has brought the conventional electrical grid in
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
[HTML][HTML] A feedforward–convolutional neural network to detect low-rate dos in iot
The lack of standardization and the heterogeneous nature of the Internet of Things (IoT) has
exacerbated the issue of security and privacy. In literature, to improve security at the network …
exacerbated the issue of security and privacy. In literature, to improve security at the network …
An efficient AdaBoost algorithm with the multiple thresholds classification
Y Ding, H Zhu, R Chen, R Li - Applied sciences, 2022 - mdpi.com
Featured Application A new Weak Learn algorithm which classifies examples is proposed
based on multiple thresholds. The weight assigning scheme of the Weak Learn algorithm is …
based on multiple thresholds. The weight assigning scheme of the Weak Learn algorithm is …
[HTML][HTML] Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring
Abstract The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Performance and features: Mitigating the low-rate TCP-targeted DoS attack via SDN
D Tang, Y Yan, S Zhang, J Chen… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging network architecture. The decoupled
data and control plane provides programmability for efficient network management …
data and control plane provides programmability for efficient network management …