A comprehensive survey of AI-enabled phishing attacks detection techniques
In recent times, a phishing attack has become one of the most prominent attacks faced by
internet users, governments, and service-providing organizations. In a phishing attack, the …
internet users, governments, and service-providing organizations. In a phishing attack, the …
[PDF][PDF] A review on honeypot-based botnet detection models for smart factory
Since the Swiss Davos Forum in January 2017, the most searched keywords related to the
Fourth Revolutionary Industry are AI technology, big data, and IoT. In particular, the …
Fourth Revolutionary Industry are AI technology, big data, and IoT. In particular, the …
Detecting phishing domains using machine learning
S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …
organization to obtain sensitive information from a victim. One example of such is trolling …
Phishing detection system through hybrid machine learning based on URL
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
PhishHaven—An efficient real-time AI phishing URLs detection system
Different machine learning and deep learning-based approaches have been proposed for
designing defensive mechanisms against various phishing attacks. Recently, researchers …
designing defensive mechanisms against various phishing attacks. Recently, researchers …
A novel ensemble machine learning method to detect phishing attack
Currently and particularly with remote working scenarios during COVID-19, phishing attack
has become one of the most significant threats faced by internet users, organizations, and …
has become one of the most significant threats faced by internet users, organizations, and …
Multilayer stacked ensemble learning model to detect phishing websites
Phishing is a cyber attack that tricks the online users into revealing sensitive information with
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
Particle swarm optimization-based feature weighting for improving intelligent phishing website detection
W Ali, S Malebary - IEEE Access, 2020 - ieeexplore.ieee.org
Over the last few years, web phishing attacks have been constantly evolving causing
customers to lose trust in e-commerce and online services. Various tools and systems based …
customers to lose trust in e-commerce and online services. Various tools and systems based …
Voice Enabled Website
B Kumar, D Kaur, B Ramola - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, a voice-controlled system is change the people's way of communication with
an electronic device. Voice recognition give the users a simple way of interaction through …
an electronic device. Voice recognition give the users a simple way of interaction through …
Defending the digital Frontier: IDPS and the battle against Cyber threat
H Azam, MI Dulloo, MH Majeed, JPH Wan, LT Xin… - 2023 - preprints.org
The ever-evolving landscape of technology continually drives the demand for more robust
and secure systems. Intrusion Detection and Prevention Systems (IPS) play a pivotal role in …
and secure systems. Intrusion Detection and Prevention Systems (IPS) play a pivotal role in …