An intrusion identification and prevention for cloud computing: From the perspective of deep learning

A Kumar, RS Umurzoqovich, ND Duong, P Kanani… - Optik, 2022 - Elsevier
As the Internet industry has connected the globe using advancements in computer network
from LAN to Cloud Infrastructure, Fashions and Developments in Internet of Things (IoT) …

OIDCBMS: A Novel Neural Network based Intrusion Detection System to Cloud Computing based on New Cube Algorithm

D Srilatha, N Thillaiarasu - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is a significant segment for maintaining network security.
Likewise, as the cloud stage is rapidly developing and becoming more famous in our daily …

[PDF][PDF] An efficient hybrid multilevel intrusion detection system in cloud environment

P Ghosh, C Debnath, D Metia, R Dutta - IOSR Journal of Computer …, 2014 - academia.edu
Cloud Computing offers latest computing paradigm where application, data and IT services
are provided online over the Internet. One of the significant concerns in Cloud Computing is …

[PDF][PDF] Scalable network intrusion detection in cloud environments through parallelized swarm-optimized neural networks

R Ramamoorthy, RK Ranganathan… - Yanbu Journal of …, 2024 - yjes.scholasticahq.com
Cloud computing (CC) offers on demand, flexible resources and services over the internet,
to secure cloud assets and resources, privacy and security remains a difficult challenge. To …

Improved Intrusion Detection Based on Hybrid Deep Learning Models and Federated Learning

J Huang, Z Chen, SZ Liu, H Zhang, HX Long - Sensors, 2024 - mdpi.com
The security of the Industrial Internet of Things (IIoT) is of vital importance, and the Network
Intrusion Detection System (NIDS) plays an indispensable role in this. Although there is an …

A Transformer-based network intrusion detection approach for cloud security

Z Long, H Yan, G Shen, X Zhang, H He… - Journal of Cloud …, 2024 - Springer
The distributed architecture of cloud computing necessitates robust defense mechanisms to
secure network-accessible resources against a diverse and dynamic threat landscape. A …

Supervised machine learning techniques for efficient network intrusion detection

N Aboueata, S Alrasbi, A Erbad… - 2019 28th …, 2019 - ieeexplore.ieee.org
Cloud computing is gaining significant traction and virtualized data centers are becoming
popular as a cost-effective infrastructure in telecommunication industry. Infrastructure as a …

[PDF][PDF] Intrusion detection system in cloud security using deep convolutional network

P Varun, K Ashokkumar - Appl. Math. Inf. Sci, 2022 - digitalcommons.aaru.edu.jo
When it comes to data processing, sharing, and storage, cloud computing is the industry
standard. Due to the frequent attacks, it faced a number of security issues. The existence of …

FD‐DBN: Flow directed deep belief network for accurate anomaly detection in cloud computing

B Rajarao, M Sreenivasulu - International Journal of …, 2023 - Wiley Online Library
Security becomes the key concern in a cloud environment, as the servers are distributed
throughout the globe and involve the circulation of highly sensitive data. Intrusions in the …

[图书][B] Deep learning based intrusion detection system for Internet of Things

S Chawla - 2017 - search.proquest.com
With the increase in number of Internet connected devices, security and privacy concerns
are the major obstacles impeding the widespread adoption of Internet of Things (IoT) …