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Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
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 …
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
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 …
to access linked multimedia devices. The development of IoT and its ubiquitous application …
Deep learning enabled intrusion detection system for Industrial IOT environment
The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a
serious threat to enterprise systems, necessitating sophisticated and reliable defense …
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
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
A novel hybrid deep learning model for metastatic cancer detection
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 …
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
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 …
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
Unauthorized users may attack centralized controllers as an attractive target in software-
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …
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
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 …
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)
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 …
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
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 …
because of their high mobility and adaptable deployment capabilities in open spaces. They …