A Robust Deep-learning System for Detecting and Classifying Cyber-attacks in Cloud Computing

M Chinnadurai - 2024 - researchsquare.com
Abstract The Internet of Things (IoT) has emerged as the benchmark for low-power lossy
networks (LLNs) due to the rapid proliferation of low-power, high-throughput technology …

Cyber security Vulnerabilities and Remediation Through Cloud Security Tools

FNU Jimmy - Journal of Artificial Intelligence General science …, 2024 - ojs.boulibrary.com
The proliferation of internet usage has surged dramatically, prompting individuals and
businesses to conduct myriad transactions online rather than in physical spaces. The onset …

Deep Learning Applications in Cloud Security: Challenges and Opportunities

SR Mamidi - Journal of Artificial Intelligence General science …, 2024 - ojs.boulibrary.com
The rapid adoption of cloud computing has transformed the digital landscape, offering
unparalleled flexibility, scalability, and cost-efficiency. However, this evolution has also …

[PDF][PDF] Cyberattack Detection via Artificial Intelligence in Cloud Computing Environment

N Suresh - 2023 - dsjournals.com
Cyberattack detection is the ability of IT firms to quickly and efficiently identify threats to the
network, apps, or other network assets. The first step in creating a successful cyber detection …

A review of cloud security solutions: Leveraging machine learning and deep learning techniques

DP Mishra - Available at SSRN 4704331, 2024 - papers.ssrn.com
As organizations continue to leverage the benefits of cloud computing, it is imperative to
prioritize cloud security. A holistic approach that encompasses people, processes, and …

[HTML][HTML] Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial Intelligence Review, 2024 - Springer
Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …

Cloud computing security and deep learning: An ANN approach

L Hasimi, D Zavantis, E Shakshuki, A Yasar - Procedia Computer Science, 2024 - Elsevier
Deep learning techniques have shown significant impact in enhancing security across
various domains by leveraging artificial neural networks models. When applied to cloud …

A Deep Learning-Based Intrusion Detection System for Securing Cloud Computing Environments Against Emerging Cyber Threats

MT Reyes - Journal of Sustainable Technologies and …, 2024 - publications.dlpress.org
The increasing reliance on cloud computing for critical business operations has made cloud
environments a prime target for cyber attacks. Traditional intrusion detection systems often …

Deep Learning Approaches for Cyber Threat Detection and Mitigation

A Juyal, B Bhushan, AA Hameed, A Jamil - Proceedings of the 2023 7th …, 2023 - dl.acm.org
Cyberspace has inflated over the past decade, primarily driven by pervasive development
and widespread usage of the internet. Prolonged cyber-attacks and security vulnerabilities …

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

D Torre, F Mesadieu, A Chennamaneni - Empirical Software Engineering, 2023 - Springer
Context Recent years have seen a lot of attention into Deep Learning (DL) techniques used
to detect cybersecurity attacks. DL techniques can swiftly analyze massive datasets, and …