Optimized machine learning-based intrusion detection system for fog and edge computing environment
As a new paradigm, fog computing (FC) has several characteristics that set it apart from the
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …
OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases
The most widespread disease that often puts the patient's life in danger is skin disease.
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …
A novel bi-anomaly-based intrusion detection system approach for industry 4.0
S Alem, D Espes, L Nana, E Martin… - Future Generation …, 2023 - Elsevier
Abstract Today, industry 4.0 is becoming a major target for cybercriminals due to its hyper-
connectivity. Fortunately, there are several advanced means of securing industrial systems …
connectivity. Fortunately, there are several advanced means of securing industrial systems …
Quantum Mayfly optimization with encoder-decoder driven LSTM networks for malware detection and classification model
Malware refers to malicious software developed to penetrate or damage a computer system
without any owner's informed consent. It uses target system susceptibilities, like bugs in …
without any owner's informed consent. It uses target system susceptibilities, like bugs in …
[HTML][HTML] MOBIPCR: Efficient, accurate, and strict ML-based mobile malware detection
C Liu, J Lu, W Feng, E Du, L Di, Z Song - Future Generation Computer …, 2023 - Elsevier
Mobile devices have been and will be continuously prevalent as rich applications are
provided for various demands. However, the mobile operating system lacks efficient …
provided for various demands. However, the mobile operating system lacks efficient …
Hybrid IoT-edge-cloud computing-based athlete healthcare framework: Digital twin initiative
Abstract Internet of Things (IoT) paradigm has been able to revolutionize ubiquitous
healthcare in time-sensitive manner. Conspicuously, the current study proposes an …
healthcare in time-sensitive manner. Conspicuously, the current study proposes an …
Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing
Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
A malicious code detection method based on stacked depthwise separable convolutions and attention mechanism
H Huang, R Du, Z Wang, X Li, G Yuan - Sensors, 2023 - mdpi.com
To address the challenges of weak model generalization and limited model capacity
adaptation in traditional malware detection methods, this article presents a novel malware …
adaptation in traditional malware detection methods, this article presents a novel malware …
Evolution of cooperation in vehicular cloud assisted networks for ITS services: A hunt game-based approach
NS Rajput, R Banerjee, D Sanghi… - Future Generation …, 2023 - Elsevier
Modern-day vehicles that are generally equipped with advanced sensors, devices, and
communication technologies and sophisticated cloud computing facilities paved the way for …
communication technologies and sophisticated cloud computing facilities paved the way for …
On the layout-oriented investigation of power attack hardness of spintronic-based logic circuits
High leakage power consumption has become one of the main concerns of data security
protection with CMOS device scaling. Spintronic technology is one of the efficient solutions …
protection with CMOS device scaling. Spintronic technology is one of the efficient solutions …