Machine Learning-Based Technique for Phishing URLs Detection from TLS 1.2 and TLS 1.3 Traffic Without Decryption

M Kumar, AR Pais, RS Rao - … Techniques for Data Analysis and Signal …, 2023 - Springer
Phishing is one of the major leading cyberattack leading to huge financial loss and sensitive
information loss such as account information, card details, password, login credentials …

Phishing Attack Detection Using Convolutional Neural Networks

S Velpula, R Parise, NK Vamsi… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Phishing attacks are a prevalent form of social engineering that target individuals through
emails to obtain confidential and sensitive information. These attacks can lead to larger …

Monitoramento e Identificação de Páginas de Phishing

H Damasceno, V Freire, W Santos… - Anais do XXXIX …, 2021 - sol.sbc.org.br
Phishing campaigns frequently employ Web pages that mimic legitimate pages to fool
victims into providing sensitive information. Despite the research community's continued …

[PDF][PDF] Comparative Study Of Machine Learning Algorithms For Phishing Website Detection

A Velamati - 2021 - ijeast.com
Phishing is the most commonly approached cyber-attack in this modern era. Through such
attacks, the phisher will target the innocent users by tricking them into revealing their secure …

Fast Detection of Zero-Day Phishing Websites Using Machine Learning

T Nagunwa - 2022 - open-access.bcu.ac.uk
The recent global growth in the number of internet users and online applications has led to a
massive volume of personal data transactions taking place over the internet. In order to gain …

[PDF][PDF] Deep stacked autoencoder based feature repsentation for phishing URLs detection

M Nivaashini, RS Soundariya - Journal of Advanced Research in …, 2017 - researchgate.net
ABSTRACT The Internet and Web have become more transparent and vulnerable to cyber
attacks that expose opportunities for criminals to upload malicious content. Concurrently …

[PDF][PDF] 臺灣地區網路釣魚之偵防研究

劉心玫, 廖有祿 - jitas.cpu.edu.tw
摘要網際網路與通訊科技的發達, 加上智慧型手機的普及, 人與人之間的溝通交流已不再受空間
的侷限. 正因通訊便利, 使得以欺騙人類為主的釣魚網址透過網際網路通訊工具更加氾濫 …

A Novel Machine Learning Methodology for Detecting Phishing Attacks in Real Time

V Arora, M Misra - Security and Trust Management: 16th International …, 2020 - Springer
Phishing is a cybercriminal activity where the criminal masquerades as a trusted entity and
attacks the righteous users to gain personal information illegally. Many phishing detection …

[PDF][PDF] An incremental component-based system for mitigating phishing attacks

AA Orunsolu, SO Kareem… - Acta Informatica …, 2021 - actainformaticamalaysia.com
The unprecedented reliance on the Internet and the emerging domain of the Internet of
Things (IoT) have created a new social world order in which social interaction and business …

Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios

H Zuhair, A Selamat - International Journal of Data Mining …, 2020 - inderscienceonline.com
Although the conventional machine learning-based anti-phishing techniques outperform
their competitors in phishing detection, they are still targeted by zero-hour phish webpages …