Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing

S Cherbal, A Zier, S Hebal, L Louail… - The Journal of …, 2024 - Springer
Abstract The Internet of Things (IoT) is an important virtual network that allows remote users
to access linked multimedia devices. The development of IoT and its ubiquitous application …

Deep learning enabled intrusion detection system for Industrial IOT environment

H Nandanwar, R Katarya - Expert Systems with Applications, 2024 - Elsevier
The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a
serious threat to enterprise systems, necessitating sophisticated and reliable defense …

[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0

O Chakir, A Rehaimi, Y Sadqi, M Krichen… - Journal of King Saud …, 2023 - Elsevier
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …

A novel hybrid deep learning model for metastatic cancer detection

S Ahmad, T Ullah, I Ahmad, A Al-Sharabi… - Computational …, 2022 - Wiley Online Library
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …

Hybrid machine learning model for efficient botnet attack detection in iot environment

M Ali, M Shahroz, MF Mushtaq, S Alfarhood… - IEEE …, 2024 - ieeexplore.ieee.org
Cyber attacks are growing with the rapid development and wide use of internet technology.
Botnet attack emerged as one of the most harmful attacks. Botnet identification is becoming …

Federated learning inspired low-complexity intrusion detection and classification technique for sdn-based industrial cps

A Zainudin, R Akter, DS Kim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unauthorized users may attack centralized controllers as an attractive target in software-
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …

Skipgatenet: A lightweight cnn-lstm hybrid model with learnable skip connections for efficient botnet attack detection in iot

MS Alshehri, J Ahmad, S Almakdi, M Al Qathrady… - IEEE …, 2024 - ieeexplore.ieee.org
The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet
attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion …

[HTML][HTML] Quantum machine learning for security assessment in the internet of medical things (IoMT)

AS Rajawat, SB Goyal, P Bedi, T Jan… - Future Internet, 2023 - mdpi.com
Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items
such as small sensors/actuators and other cyber-physical devices (CPDs) in medical …

[HTML][HTML] Beyond encryption: Exploring the potential of physical layer security in UAV networks

F Xu, S Ahmad, M Ahmed, S Raza, F Khan, Y Ma… - Journal of King Saud …, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) have attracted much attention for civil and military uses
because of their high mobility and adaptable deployment capabilities in open spaces. They …