Results 81 to 90 of about 204,072 (197)

Large Language Models for Security Operations Centers: A Comprehensive Survey

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Security operations centers (SOCs) face escalating challenges from alert fatigue and a critical skills gap, leading to delayed incident response times. Addressing these persistent issues calls for innovative automation and decision‐support approaches.
Ali Habibzadeh, Farid Feyzi, Reza Ebrahimi Atani, Kusum Verma   +3 more
wiley   +1 more source

Detecting phishing websites through improving convolutional neural networks with Self-Attention mechanism

Ain Shams Engineering Journal
Emerging technologies have made internet connection a vital activity facilitating access to many services. However, internet connection raises many security concerns, such as illegally acquiring private information, passwords, and identifiers.
Yahia Said, Ahmed A. Alsheikhy, Husam Lahza, Tawfeeq Shawly   +3 more
doaj   +1 more source

An effective detection approach for phishing websites using URL and HTML features. [PDF]

Sci Rep, 2022
Aljofey A, Jiang Q, Rasool A, Chen H, Liu W, Qu Q, Wang Y.   +6 more
europepmc   +1 more source

Recognition of phishing attacks utilizing anomalies in phishing websites [PDF]

, 2012
The fight against phishing has resulted in several anticipating phishing prevention techniques. However, they are only partially able to address the phishing problem.
CHAUDHARY, SUNIL
core  

World-wide cloaking phishing websites detection [PDF]

, 2017
Most known anti-phishing tools are based in “black-list” system and http headers, but some phishing sites have been used web cloaking technique to avoid possible detection.
Guo, Ziji
core   +1 more source

Website Phishing Detector

Phishing attempts are still one of the most popular techniques to deceive customers and steal personal information, especially with the significant increase in cyberthreats. This project provides a browser extension-based phishing detection solution to increase user security when using the internet. The plugin continuously examines and assesses website
Mrs Varshini J, Nidhiswar B, Ravikrishna L, Rohith S, Yashwanth Babu S   +4 more
openaire   +1 more source

Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques. [PDF]

Ann Data Sci, 2022
Das Guptta S, Shahriar KT, Alqahtani H, Alsalman D, Sarker IH.   +4 more
europepmc   +1 more source

Determining provenance in phishing websites using automated conceptual analysis [PDF]

, 2009
Phishing is a form of online fraud with drastic consequences for the victims and institutions being defrauded. A phishing attack tries to create a believable environment for the intended victim to enter their confidential data such that the attacker can ...
Robert Layton, Watters, Paul, Paul Watters, Layton, Robert   +3 more
core   +1 more source

Enhancing cybersecurity: A review and comparative analysis of convolutional neural network approaches for detecting URL-based phishing attacks

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Phishing attempts to mimic the official websites of businesses, including banks, e-commerce, government offices, and financial institutions. Phishing websites aim to collect and retrieve sensitive data from users, including passwords, credit card numbers,
Manika Nanda, Mala Saraswat, Pankaj Kumar Sharma   +2 more
doaj   +1 more source

An Ensemble Machine Learning With Feature Selection Methods for Detecting Phishing Attacks [PDF]

IJCI International Journal of Computers and Information
Attacks against the internet have increased due to the development of the internet and its application. Phishing attacks are among internet users' most common threats, Especially during COVID-19 with remote working. Phishing is a security attack in which
Mai Abd Elgaleel, Khaled Amin, Hayam Mousa   +2 more
doaj   +1 more source