Hybrid machine learning approach based intrusion detection in cloud: A metaheuristic assisted model

B RM, HK Mewada, R BR - Multiagent and Grid Systems, 2022 - content.iospress.com
Cloud computing provides various cost-effective on-demand services to the user and so it is
rising like a real trend in the IT service model. However, due to its open and distributed …

A better and fast cloud intrusion detection system using improved squirrel search algorithm and modified deep belief network

N Sarkar, PK Keserwani, MC Govil - Cluster Computing, 2024 - Springer
Utilizing the cloud environment is one of the most preferable option in every information
technology (IT) organization for running its business due to its flexible nature of services for …

[HTML][HTML] Intrusion detection system in cloud environment: Literature survey & future research directions

S Lata, D Singh - International Journal of Information Management Data …, 2022 - Elsevier
The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …

Evolutionary-based deep stacked autoencoder for intrusion detection in a cloud-based cyber-physical system

MA Duhayyim, KA Alissa, FS Alrayes, SS Alotaibi… - Applied Sciences, 2022 - mdpi.com
As cyberattacks develop in volume and complexity, machine learning (ML) was extremely
implemented for managing several cybersecurity attacks and malicious performance. The …

Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework

V Polepally, DB Jagannadha Rao… - Cybernetics and …, 2024 - Taylor & Francis
Intrusion detection systems (IDS) are extensively employed for detecting suspicious
behaviors in hosts. The ability of distributed IDS solutions makes it viable to combine and …

Contemporary PCA and NBA based Hybrid Cloud Intrusion Detection System

S Raja, S Pran, N Pandeeswari, P Kiruthiga… - … Transactions on Energy …, 2021 - eudl.eu
INTRODUCTION: Cloud computing offers on-demand services, from which consumers can
avail networked storage and computer resources. Due to the fact that cloud is accessed …

Optimal cluster based feature selection for intrusion detection system in web and cloud computing environment using hybrid teacher learning optimization enables …

KG Maheswari, C Siva, G Nalinipriya - Computer Communications, 2023 - Elsevier
Abstract Information technology organizations have experienced rapid growth in recent
years, resulting in scalability, mobility, and flexibility challenges. Those organizations move …

Dahid: Domain adaptive host-based intrusion detection

O Ajayi, A Gangopadhyay - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Cybersecurity is becoming increasingly important with the explosion of attack surfaces as
more cyber-physical systems are being deployed. It is impractical to create models with …

HDLNIDS: hybrid deep-learning-based network intrusion detection system

EUH Qazi, MH Faheem, T Zia - Applied Sciences, 2023 - mdpi.com
Attacks on networks are currently the most pressing issue confronting modern society.
Network risks affect all networks, from small to large. An intrusion detection system must be …

[PDF][PDF] Documentation for the isot cloud intrusion detection benchmark dataset (isot-cid)

A Aldribi, I Traore, PG Quinan… - University of …, 2020 - onlineacademiccommunity.uvic.ca
Cloud computing is susceptible to traditional IT attacks because it leverages the existing IT
infrastructure, operating systems (OSs), and applications. In addition to the conventional …