[HTML][HTML] A deeper look into cybersecurity issues in the wake of Covid-19: A survey
This study analyzed the Coronavirus (COVID-19) crisis from the angle of cyber-crime,
highlighting the wide spectrum of cyberattacks that occurred around the world. The modus …
highlighting the wide spectrum of cyberattacks that occurred around the world. The modus …
Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
[HTML][HTML] Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey
It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …
sources in the cloud during transit and processing. For instance, data provenance, which …
Drone cybersecurity issues, solutions, trend insights and future perspectives: a survey
This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …
Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models
ON Oyelade, AE Ezugwu - Scientific Reports, 2022 - nature.com
Feature classification in digital medical images like mammography presents an optimization
problem which researchers often neglect. The use of a convolutional neural network (CNN) …
problem which researchers often neglect. The use of a convolutional neural network (CNN) …
Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia
The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
an alarming socio-economic menace in Saudi Arabia and various places globally due to …
Enhanced Ali Baba and the forty thieves algorithm for feature selection
M Braik - Neural Computing and Applications, 2023 - Springer
Feature Selection (FS) aims to ameliorate the classification rate of dataset models by
selecting only a small set of appropriate features from the initial range of features. In …
selecting only a small set of appropriate features from the initial range of features. In …
Detection of Ponzi scheme on Ethereum using machine learning algorithms
Security threats posed by Ponzi schemes present a considerably higher risk compared to
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
Covid text identification (CTI) is a crucial research concern in natural language processing
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
Enhancing a convolutional neural network model for land subsidence susceptibility mapping using hybrid meta-heuristic algorithms
Managing natural hazards such as land subsidence (LS) is important because they cause
large economic and human loss. LS has become a significant challenge in South Korea due …
large economic and human loss. LS has become a significant challenge in South Korea due …