NoFish; total anti-phishing protection system

DN Atimorathanna, TS Ranaweera… - … on Advancements in …, 2020 - ieeexplore.ieee.org
Phishing attacks have been identified by researchers as one of the major cyber-attack
vectors which the general public has to face today. Although many vendors constantly …

Phishing detection using machine learning technique

J Rashid, T Mahmood, MW Nisar… - 2020 first international …, 2020 - ieeexplore.ieee.org
Today, everyone is highly dependent on the internet. Everyone performed online shopping
and online activities such as online Bank, online booking, online recharge and more on …

Content based phishing detection with machine learning

U Ozker, OK Sahingoz - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
In recent years due to the inevitable growth of Internet technologies, almost all the real-world
systems are transferred to digital platforms. This increases the use of cyberspace in every …

Towards the detection of phishing attacks

AA Athulya, K Praveen - 2020 4th international conference on …, 2020 - ieeexplore.ieee.org
Phishing is an act of creating a website similar to a legitimate website with a motive of
stealing user's confidential information. Phishing fraud might be the most popular …

A methodical overview on phishing detection along with an organized way to construct an anti-phishing framework

S Patil, S Dhage - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
Phishing is a security attack to acquire personal information like passwords, credit card
details or other account details of a user by means of websites or emails. Phishing websites …

Phishing attacks detection a machine learning-based approach

F Salahdine, Z El Mrabet… - 2021 IEEE 12th Annual …, 2021 - ieeexplore.ieee.org
Phishing attacks are one of the most common social engineering attacks targeting users'
emails to fraudulently steal confidential and sensitive information. They can be used as a …

Phishing Attack Detection using Python and Machine Learning

JS Mittapalli, S Ojha… - 2021 5th International …, 2021 - ieeexplore.ieee.org
In this digital era, information security has become a very important domain as all sorts of
information are publicly available in the web. Even though the security measures and the …

A novel method to prevent phishing by using OCR technology

Y Wang, I Duncan - … on Cyber Security and Protection of Digital …, 2019 - ieeexplore.ieee.org
Phishing is one of the most common attacks in the world, especially with the increasing
usage of mobile platforms and e-commerce. Although many users are weary of phishing …

Mitigating email phishing attacks using convolutional neural networks

R Alotaibi, I Al-Turaiki, F Alakeel - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Phishing detection has gained huge attention from both academia and industry. Damages
and data breaches affecting private and governmental entities caused by email phishing …

Machine learning and nature inspired based phishing detection: a literature survey

AA Akinyelu - International Journal on Artificial Intelligence Tools, 2019 - World Scientific
Phishing detection remains one of the most challenging problems currently faced by cyber
users as sophisticated phishing schemes evolves rapidly. This paper presents a …