Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

[HTML][HTML] Multi-scale semantic deep fusion models for phishing website detection

DJ Liu, GG Geng, XC Zhang - Expert Systems with Applications, 2022 - Elsevier
In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, and …

Application of word embedding and machine learning in detecting phishing websites

RS Rao, A Umarekar, AR Pais - Telecommunication Systems, 2022 - Springer
Phishing is an attack whose aim is to gain personal information such as passwords, credit
card details etc. from online users by deceiving them through fake websites, emails or any …

Phishsim: Aiding phishing website detection with a feature-free tool

RW Purwanto, A Pal, A Blair… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a feature-free method for detecting phishing websites using the
Normalized Compression Distance (NCD), a parameter-free similarity measure which …

Phishing Website Detection as a Website Comparing Problem

MK Le-Nguyen, TCH Nguyen, DT Le, VH Nguyen… - SN Computer …, 2022 - Springer
Phishing attacks are severe threats to websites; therefore, phishing intelligence is crucial for
web owners to prevent potential phishing campaigns. Intuitively, phishing websites must …

[HTML][HTML] Crawl-shing: A focused crawler for fetching phishing contents based on graph isomorphism

F Tchakounte, JCT Ngnintedem, I Damakoa… - Journal of King Saud …, 2022 - Elsevier
The Web is fed with experiences about phishing, which aim at sharing phisher techniques
and behaviours. We argue that this textual information can be turned into knowledge …

Optimized Machine Learning Algorithm to classify Phishing Websites

T Bikku, M Nikitha, A Vajja… - … on Electronics and …, 2022 - ieeexplore.ieee.org
The common method of misleading people is Phishing, which giving up their personal
information by using bogus websites. The major goal of this work is to use machine learning …

Deep Learning Based Sentiment Analysis for Phishing SMS Detection

A Sharaff, R Allenki, R Seth - Research Anthology on Implementing …, 2022 - igi-global.com
Sentiment analysis works on the principle of categorizing and identifying the text-based
content and the process of classifying documents into one of the predefined classes …

Detection of Malware in the Network Using Machine Learning Techniques

B Yogesh, GS Reddy - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The increased use of the internet has presented the most significant challenge to the digital
world's security. Malicious URLs are the most common way for people to engage in phishing …

Towards improved phishing detection from URLs, using supervised machine learning

MI Aboki - 2022 - norma.ncirl.ie
It's still amazing and bemusing how phishing as a social engineering technique has been
successfully employed by fraudsters to deceive human users into giving up sensitive and …