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Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …
education, home, vehicles, or healthcare. With the increase in the number of connected …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Optimization enabled deep learning‐based ddos attack detection in cloud computing
S Balasubramaniam, C Vijesh Joe… - … Journal of Intelligent …, 2023 - Wiley Online Library
Cloud computing is a vast revolution in information technology (IT) that inhibits scalable and
virtualized sources to end users with low infrastructure cost and maintenance. They also …
virtualized sources to end users with low infrastructure cost and maintenance. They also …
[HTML][HTML] Secure cloud infrastructure: A survey on issues, current solutions, and open challenges
Cloud computing is currently becoming a well-known buzzword in which business titans,
such as Microsoft, Amazon, and Google, among others, are at the forefront in develo** …
such as Microsoft, Amazon, and Google, among others, are at the forefront in develo** …
Network intrusion detection using ACO-DNN model with DVFS based energy optimization in cloud framework
Recent technologies and innovations have encouraged users to adopt cloud-based
environment. Network intrusion detection (NID) is an important method for network system …
environment. Network intrusion detection (NID) is an important method for network system …
SDMTA: Attack detection and mitigation mechanism for DDoS vulnerabilities in hybrid cloud environment
S Kautish, A Reyana, A Vidyarthi - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In a distributed cloud context, distributed denial of service (DDoS) attacks are widespread.
The services are rendered unavailable to legitimate users as a result of the overwhelming …
The services are rendered unavailable to legitimate users as a result of the overwhelming …
Cloud network anomaly detection using machine and deep learning techniques-recent research advancements
A Abdallah, A Alkaabi, G Alameri, SH Rafique… - IEEE …, 2024 - ieeexplore.ieee.org
In the rapidly evolving landscape of computing and networking, the concepts of cloud
networks have gained significant prominence. Although the cloud network offers on-demand …
networks have gained significant prominence. Although the cloud network offers on-demand …
A machine learning based detection and mitigation of the DDOS attack by using SDN controller framework
Recently, SDN has arisen as a new network platform that offers unparalleled programming
that enables network operators to dynamically customize and control their networks. The …
that enables network operators to dynamically customize and control their networks. The …
[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 …
Computational and mathematical methods in medicine glioma brain tumor detection and classification using convolutional neural network
S Saravanan, VV Kumar… - … methods in medicine, 2022 - Wiley Online Library
The classification of the brain tumor image is playing a vital role in the medical image
domain, and it directly assists the clinicians to understand the severity and to take an …
domain, and it directly assists the clinicians to understand the severity and to take an …