Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review

N Mishra, S Pandya - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
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 …

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 …

[HTML][HTML] Secure cloud infrastructure: A survey on issues, current solutions, and open challenges

Y Alghofaili, A Albattah, N Alrajeh, MA Rassam… - Applied Sciences, 2021 - mdpi.com
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** …

Network intrusion detection using ACO-DNN model with DVFS based energy optimization in cloud framework

JK Samriya, R Tiwari, X Cheng, RK Singh… - … Informatics and Systems, 2022 - Elsevier
Recent technologies and innovations have encouraged users to adopt cloud-based
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 …

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 …

A machine learning based detection and mitigation of the DDOS attack by using SDN controller framework

M Revathi, VV Ramalingam, B Amutha - Wireless Personal …, 2022 - Springer
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 …

[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 …

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 …