Results 101 to 110 of about 2,777,664 (208)

Enhancing Phishing Detection: A Machine Learning Approach to Predicting Malicious Emails, URLs, and SMS Messages

Applied Computational Intelligence and Soft Computing
The rapid digitization of financial service companies and organizations has heightened concerns over data security, particularly regarding unauthorized access to personal, financial, and password information.
Mehraj Ibne Halim, Mohammad Zibran Hasan, Md. Humayun Kabir, Mohammad Nadib Hasan, Hassan Jaki, null Ahmad, Hasibul Hasan   +6 more
doaj   +1 more source

A sample phishing email item from the phishing detection task.

, 2018
A sample phishing email item from the phishing detection task.
Judy Kay (5900321), Marvin K. H. Law (5171993), Sabina Kleitman (680036)   +2 more
core   +1 more source

HoPhiDeS: Holistic Phishing Detection Score

, 2022
From 2019 into 2021, phishing incidents tripled, while phishing was found to be the largest used cyberattack vector. One commonly used type of phishing is a credential phishing attack over email. This is an act where an attacker tries to steal credential
Mulder, Tijmen (author)
core  

Towards a Multi-Layered Phishing Detection. [PDF]

Sensors (Basel), 2020
Rendall K, Nisioti A, Mylonas A.
europepmc   +1 more source

Implementation of Phishing Detection and Defense Program using Ensemble Methods

This thesis implements a phishing detection and defense program using ensemble methods. Cybercrime is becoming increasingly sophisticated recently.
Miyashita, Yui
core  

SEFAP: An Email System for Anti-Phishing

, 2007
More and more users are suffering from email-based phishing attacks over the past years. Despite the use of various technologies for anti-phishing, phishing is still one of most serious attacks against Internet users. Email phishing attacks fabricate the
Willy Susilo (19588021), Qoing Ren (20201265), Yi Mu (20120565)   +2 more
core   +1 more source

Phishing Detection Techniques: A review [PDF]

Phishing remains one of the most pervasive and sophisticated threats to cybersecurity, exploiting human and system vulnerabilities to compromise sensitive information.
Abdolrazzagh-Nezhad, Majid, Langarib, Nafise   +1 more
core   +1 more source

Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP

The Journal of Engineering
Nowadays, a wide range of electronic devices are being connected through the internet, and a wide range of cybercrimes are being coordinated. Phishing is one of the most serious online crimes.
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Md. Nur ‐A‐Alam, Rafid Mostafiz   +4 more
doaj   +1 more source

Development of Phishing Detection Modules: Study, Analysis, and Implementation

reservedQuesto documento descrive l'attività svolta da Leonardo Lago durante il suo stage interno presso l'Università degli Studi di Padova, della durata di circa trecentoventi ore iniziato il 6 Maggio 2024 e conclusosi il 28 Giugno 2024. L'attività è
LAGO, LEONARDO
core  

Detection of Phishing Messages

, 2015
Tato bakalářská práce se zabývá detekcí phishingových zpráv v českém a anglickém jazyce. Popsány jsou charakteristické znaky phishingových zpráv a existující řešení, které phishing potírají.
Duda Tomáš
core