An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
An improved mutual information feature selection technique for intrusion detection systems in the Internet of Medical Things
M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …
Reliable machine learning model for IIoT botnet detection
F Taher, M Abdel-Salam, M Elhoseny… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the growing number of Industrial Internet of Things (IoT) devices, network attacks like
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
Attack detection analysis in software-defined networks using various machine learning method
Y Wang, X Wang, MM Ariffin, M Abolfathi… - Computers and …, 2023 - Elsevier
Abstract The Software-Defined Network (SDN) provides a more flexible and effectively
managed network design for next-generation networking. Network managers can easily …
managed network design for next-generation networking. Network managers can easily …
Joint IoT/ML platforms for smart societies and environments: a review on multimodal information-based learning for safety and security
H Attar - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
The application of the Internet of Things (IoT) is highly expected to have comprehensive
economic, business, and societal implications for our smart lives; indeed, IoT technologies …
economic, business, and societal implications for our smart lives; indeed, IoT technologies …
[PDF][PDF] A signature-based botnet (emotet) detection mechanism
F Suthar, N Patel, S Khanna - Int. J. Eng. Trends Technol, 2022 - researchgate.net
The Internet has become an essential part of life, especially after the COVID-19 pandemic.
The increasing use of technology brings new challenges. Cyber security has emerged as a …
The increasing use of technology brings new challenges. Cyber security has emerged as a …
eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance
A Alqahtani, FT Sheldon - Sensors, 2024 - mdpi.com
Early detection of ransomware attacks is critical for minimizing the potential damage caused
by these malicious attacks. Feature selection plays a significant role in the development of …
by these malicious attacks. Feature selection plays a significant role in the development of …
Network intrusion detection model based on neural network feature extraction and PSO-SVM
C Chen, X Xu, G Wang, L Yang - 2022 7th International …, 2022 - ieeexplore.ieee.org
Network intrusion detection system plays an important role in network security. Aiming at the
problem that it is difficult to extract subtle intrusion features in the process of intrusion …
problem that it is difficult to extract subtle intrusion features in the process of intrusion …
Modeling of botnet detection using chaotic binary Pelican Optimization Algorithm with deep learning on Internet of Things Environment
Nowadays, there are ample amounts of Internet of Things (IoT) devices interconnected to the
networks, and with technological improvement, cyberattacks and security threads, for …
networks, and with technological improvement, cyberattacks and security threads, for …
Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT
At present, the field of the Internet of Things (IoT) is one of the fastest-growing areas in terms
of Artificial Intelligence (AI) and Machine Learning (ML) techniques. The utilization of AI and …
of Artificial Intelligence (AI) and Machine Learning (ML) techniques. The utilization of AI and …