Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
CNN-Fusion: An effective and lightweight phishing detection method based on multi-variant ConvNet
Phishing scams are increasing as the technical skills and costs of phishing attacks diminish,
emphasizing the need for rapid, precise, and low-cost prevention measures. Based on a …
emphasizing the need for rapid, precise, and low-cost prevention measures. Based on a …
[HTML][HTML] Intelligent deep machine learning cyber phishing url detection based on bert features extraction
Recently, phishing attacks have been a crucial threat to cyberspace security. Phishing is a
form of fraud that attracts people and businesses to access malicious uniform resource …
form of fraud that attracts people and businesses to access malicious uniform resource …
Efficient traffic-based IoT device identification using a feature selection approach with Lévy flight-based sine chaotic sub-swarm binary honey badger algorithm
Abstract Internet of Things (IoT) refers to the various devices connected to the Internet,
enabling them to communicate and transmit data with each other. The rapid development of …
enabling them to communicate and transmit data with each other. The rapid development of …
An efficient hybrid feature selection technique towards prediction of suspicious URLs in IoT environment
With the growth of IoT, a vast number of devices are connected to the web. Consequently,
both users and devices are susceptible to deception by intruders through malicious links …
both users and devices are susceptible to deception by intruders through malicious links …
Graph-based phishing detection: URLGBM model driven by machine learning
A Elkouay, N Moussa, A Madani - International Journal of …, 2024 - Taylor & Francis
Phishing attacks are a form of social engineering that involves the transmission of deceptive
communications imitating a trustworthy source to deceive users into revealing confidential …
communications imitating a trustworthy source to deceive users into revealing confidential …
Xrrf: An explainable reasonably randomised forest algorithm for classification and regression problems
Tree-based ensemble algorithms (TEAs) have had a transformative impact in various fields.
However, when they are applied to real-time critical problems such as medical analysis …
However, when they are applied to real-time critical problems such as medical analysis …
An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)
S Sankaranarayanan, AT Sivachandran… - Plos one, 2024 - journals.plos.org
Web applications are important for various online businesses and operations because of
their platform stability and low operation cost. The increasing usage of Internet-of-Things …
their platform stability and low operation cost. The increasing usage of Internet-of-Things …
Safeguarding the IoT: taxonomy, security solutions, and future research opportunities
With the advancement of innovative technologies, the Internet of Things (IoT) has become
quite popular in various applications such as smart homes, smart cities, agriculture …
quite popular in various applications such as smart homes, smart cities, agriculture …
[PDF][PDF] An Intelligent System for Detecting Fake Materials on the Internet
AS Noah, NE Ghannam, GA Elsharawy… - International Journal of …, 2023 - mecs-press.org
There has been a significant rise in internet usage in recent years, which has led to the
presence of data theft and the diversity of counterfeit materials. This has resulted the …
presence of data theft and the diversity of counterfeit materials. This has resulted the …
IoT Phishing Detection Using Hybrid NLP and Machine Learning Models Enhanced with Contextual Embedding
Phishing attacks are currently the most spread type of cyber attacks. A lot of work has been
carried out dealing with traditional phishing (Smishing, Vishing, Email phishing, etc.) having …
carried out dealing with traditional phishing (Smishing, Vishing, Email phishing, etc.) having …