[PDF][PDF] Phishing websites detection using machine learning

R Kiruthiga, D Akila - International Journal of Recent Technology …, 2019 - researchgate.net
Phishing is a common attack on credulous people by making them to disclose their unique
information using counterfeit websites. The objective of phishing website URLs is to purloin …

[PDF][PDF] Detection of phishing websites using Machine Learning

A Deshpande, O Pedamkar, N Chaudhary… - International Journal of …, 2021 - academia.edu
Phishing is a common attack on credulous people by making them to disclose their unique
information using counterfeit websites. The objective of phishing website URLs is to purloin …

Adversarial robustness of deep neural networks: A survey from a formal verification perspective

MH Meng, G Bai, SG Teo, Z Hou, Y Xiao… - … on Dependable and …, 2022 - ieeexplore.ieee.org
Neural networks have been widely applied in security applications such as spam and
phishing detection, intrusion prevention, and malware detection. This black-box method …

A deep learning technique for web phishing detection combined URL features and visual similarity

S Al-Ahmadi - International Journal of Computer Networks & …, 2020 - papers.ssrn.com
The most popular way to deceive online users nowadays is phishing. Consequently, to
increase cybersecurity, more efficient web page phishing detection mechanisms are …

A systematic approach for malware URL recognition

NA ALfouzan, C Narmatha - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
In today's world, new communication platforms have had a profound effect on business
promotion and growth over a broad range of applications, comprising social networking, e …

[PDF][PDF] URLDeep: Continuous Prediction of Malicious URL with Dynamic Deep Learning in Social Networks.

P Wanda, HJ Jie - Int. J. Netw. Secur., 2019 - academia.edu
Malicious URLs are one of the cybercrimes techniques in digital services. They spread
unsolicited content and attack victims. Attacking will make them victims suffer from scams …

Adversarial attacks on featureless deep learning malicious urls detection

B Rasheed, A Khan, SMA Kazmi… - Computers …, 2021 - research-information.bris.ac.uk
Abstract Detecting malicious Uniform Resource Locators (URLs) is crucially important to
prevent attackers from committing cybercrimes. Recent researches have investigated the …

Learning DOM trees of web pages by subpath kernel and detecting fake e-commerce sites

K Shin, T Ishikawa, YL Liu, DL Shepard - Machine Learning and …, 2021 - mdpi.com
The subpath kernel is a class of positive definite kernels defined over trees, which has the
following advantages for the purposes of classification, regression and clustering: it can be …

Deep learning for cyber security applications: A comprehensive survey

M Alazab, KP Soman, S Srinivasan, S Venkatraman… - Authorea …, 2023 - techrxiv.org
Deep Learning (DL), a novel form of machine learning (ML) is gaining much research
interest due to its successful application in many classical artificial intelligence (AI) tasks as …

Detection of data breaching websites using machine learning

MR Prathap, KM Nandhini, KS Vairavel… - … on Advancements in …, 2021 - ieeexplore.ieee.org
In pandemic situation, the world has upgraded to virtual mode. From classes to work
everything turned to be online mode. So, the usage of internet and online services are rising …