An effective classification using enhanced elephant herding optimization with convolution neural network for intrusion detection in IoMT architecture

D Praveena Anjelin, S Ganesh Kumar - Cluster Computing, 2024 - Springer
Technological advancements in Information and Communication Technology (ICT) have
transformed the computing paradigm, introducing various communication channels, with the …

[PDF][PDF] A Hybrid Deep Learning Intrusion Detection Model for Fog Computing Environment.

K Kalaivani, M Chinnadurai - Intelligent Automation & Soft …, 2021 - cdn.techscience.cn
Fog computing extends the concept of cloud computing by providing the services of
computing, storage, and networking connectivity at the edge between data centers in cloud …

A deep learning-based framework for distributed denial-of-service attacks detection in cloud environment

AV Kachavimath, DG Narayan - … Proceedings of CoCoNet 2020, Volume 1, 2021 - Springer
The widespread cyberattack is distributed denial of service (DDoS). The unauthorized users
will target the specific server or network infrastructure by flooding with malicious Internet …

Toward efficient intrusion detection system using hybrid deep learning approach

A Aldallal - Symmetry, 2022 - mdpi.com
The increased adoption of cloud computing resources produces major loopholes in cloud
computing for cybersecurity attacks. An intrusion detection system (IDS) is one of the vital …

Cloud intrusion detection model based on deep belief network and grasshopper optimization

V Parganiha, SP Shukla, LK Sharma - International Journal of …, 2022 - igi-global.com
Cloud computing is a vast area which uses the resources cost-effectively. The performance
aspects and security are the main issues in cloud computing. Besides, the selection of …

Intrusion detection on AWS cloud through hybrid deep learning algorithm

B RM, JK MK - Electronics, 2023 - mdpi.com
The network security and cloud environment have been playing vital roles in today's era due
to increased network data transmission, the cloud's elasticity, pay as you go and global …

Intelligent intrusion detection system for smart grid applications

D Mohanty, K Sethi, S Prasath… - … Conference on Cyber …, 2021 - ieeexplore.ieee.org
Smart grid is a cyber-physical system that enhances the capability of conventional power
networks leveraging functional automation of information and communication technologies …

Distributed intrusion detection system in the cloud environment based on Apache Kafka and Apache Spark

M Ouhssini, K Afdel, M Idhammad… - 2021 Fifth International …, 2021 - ieeexplore.ieee.org
After, the emergence of cloud computing (CC), it's gained more attraction to be used for
organizations and users. CC allows to migrate the computing power to the internet services …

Data sources and datasets for cloud intrusion detection modeling and evaluation

A Aldribi, I Traore, B Moa - Cloud computing for optimization: foundations …, 2018 - Springer
Over the past few years cloud computing has skyrocketed in popularity within the IT industry.
Shifting towards cloud computing is attracting not only industry but also government and …

A bizarre synthesized cascaded optimized predictor (BizSCOP) model for enhancing security in cloud systems

RJ Menezes, PJ Jayarin, AC Sekar - Journal of Cloud Computing, 2024 - Springer
Due to growing network data dissemination in cloud, the elasticity, pay as you go options,
globally accessible facilities, and security of networks have become increasingly important …