Malicious language identification based on neural network

M Ma, H Luo - … on Computer, Artificial Intelligence, and Control …, 2023 - spiedigitallibrary.org
Malicious language identification has been a critical issue in current network environment,
automatically investigating malicious sentences has been concerned by security protection …

Research on Malicious Words Detection based on Neural Network

X Chang - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
At present, malicious words spreading not only damages the network environment but also
bring an unsatisfied experience for all Internet users. Therefore, immediately detecting the …

Classification of malicious urls by CNN model based on genetic algorithm

T Wu, Y Xi, M Wang, Z Zhao - Applied Sciences, 2022 - mdpi.com
Researchers have proposed many models for the identification of malicious URLs in
network security, but they have not achieved good results. In order to improve this defect, the …

Is this URL safe: detection of malicious URLs using global vector for word representation

R Bharadwaj, A Bhatia, LD Chhibbar… - 2022 International …, 2022 - ieeexplore.ieee.org
Users are frequently exposed to many unknown links through advertisements and emails.
These links may contain URLs to mount targeted attacks like spamming, phishing, and …

[PDF][PDF] URL-based Phishing Attack Detection by Convolutional Neural Networks.

J Nowak, M Korytkowski, M Wozniak… - Aust. J. Intell. Inf …, 2019 - scholar.archive.org
Personal sensitive data are frequently obtained with the help of malicious web sites. In this
paper, we present a way to detect such malicious URL addresses with high accuracy using …

Detection of malicious URLs using deep learning approach

KS Ray, R Kusshwaha - The" Essence" of Network Security: An End-to …, 2021 - Springer
A phishing attack is one of the cyberbullying activities over the Internet. Most of the phishing
websites try to imitate the legitimate websites. Web contents of phishing websites and URL …

A Phishing Detection Method Based on Data Mining

C Li - 2021 3rd International Conference on Applied Machine …, 2021 - ieeexplore.ieee.org
Data mining technology is a very important technology in the current era of data explosion.
With the informationization of society and the transparency and openness of information …

Malicious Domain Detection Based on Decision Tree

TT Thein, Y Shiraishi, M Morii - IEICE TRANSACTIONS on …, 2023 - search.ieice.org
Different types of malicious attacks have been increasing simultaneously and have become
a serious issue for cybersecurity. Most attacks leverage domain URLs as an attack …

Design of detection method for malicious URL based on Deep Neural Network

H Kwon, S Park, Y Kim - Journal of Convergence for Information …, 2021 - koreascience.kr
Various devices are connected to the Internet, and attacks using the Internet are occurring.
Among such attacks, there are attacks that use malicious URLs to make users access to …

[PDF][PDF] Enhancing Detection of Malicious URLs Using Boosting and Lexical Features.

M Atrees, A Ahmad, F Alghanim - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
A malicious URL is a link that is created to spread spams, phishing, malware, ransomware,
spyware, etc. A user may download malware that can adversely affect the computer by …