Intrusion detection systems: A state-of-the-art taxonomy and survey
M Alkasassbeh, S Al-Haj Baddar - Arabian Journal for Science and …, 2023 - Springer
Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …
of networks. These systems have the potential to identify and report deviations from normal …
Detecting fake news in social media networks
M Aldwairi, A Alwahedi - Procedia Computer Science, 2018 - Elsevier
Fake news and hoaxes have been there since before the advent of the Internet. The widely
accepted definition of Internet fake news is: fictitious articles deliberately fabricated to …
accepted definition of Internet fake news is: fictitious articles deliberately fabricated to …
Malware threat analysis techniques and approaches for iot applications: A review
CC Uchenna, N Jamil, R Ismail, LK Yan… - Bulletin of Electrical …, 2021 - beei.org
Internet of things (IoT) is a concept that has been widely used to improve business efficiency
and customer's experience. It involves resource constrained devices connecting to each …
and customer's experience. It involves resource constrained devices connecting to each …
Malicious domain detection using machine learning on domain name features, host-based features and web-based features
Internet has plenty of vulnerabilities which are exploited by cyber criminals to send spam,
commit financial frauds, perform phishing, indulge in command & control, disseminate …
commit financial frauds, perform phishing, indulge in command & control, disseminate …
Hate speech classification using SVM and naive BAYES
The spread of hatred that was formerly limited to verbal communications has rapidly moved
over the Internet. Social media and community forums that allow people to discuss and …
over the Internet. Social media and community forums that allow people to discuss and …
A comparison of machine learning attributes for detecting malicious websites
The number of Malicious Websites has increased manifold in the past few years. As on start
of year 2018, 1 in every 13 URL was malicious, amounting to 7.8% URLs identified as …
of year 2018, 1 in every 13 URL was malicious, amounting to 7.8% URLs identified as …
[PDF][PDF] MTA-KDD'19: A Dataset for Malware Traffic Detection.
I Letteri, G Della Penna, L Di Vita, MT Grifa - Itasec, 2020 - ricerca.univaq.it
In the present paper we describe a new, updated and refined dataset specifically tailored to
train and evaluate machine learning based malware traffic analysis algorithms. To generate …
train and evaluate machine learning based malware traffic analysis algorithms. To generate …
[HTML][HTML] Identifying malicious accounts in blockchains using domain names and associated temporal properties
The rise in the adoption of blockchain technology has led to increased illegal activities by
cybercriminals costing billions of dollars. Many machine learning algorithms are applied to …
cybercriminals costing billions of dollars. Many machine learning algorithms are applied to …
COVID-19 prediction with Chest X-Ray images using CNN
P Maddula, P Srikanth, PK Sree… - … on Intelligent and …, 2023 - ieeexplore.ieee.org
Coronavirus has outbreak as an epidemic disease, created a pandemic situation for the
public health across the Globe. Screening for the large masses is extremely crucial to control …
public health across the Globe. Screening for the large masses is extremely crucial to control …
[HTML][HTML] Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods
Attacks using Uniform Resource Locators (URLs) and their JavaScript (JS) code content to
perpetrate malicious activities on the Internet are rampant and continuously evolving …
perpetrate malicious activities on the Internet are rampant and continuously evolving …