Phishing Detection Leveraging Machine Learning and Deep Learning: A Review

05/16/2022
by   Dinil Mon Divakaran, et al.
0

Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks.

READ FULL TEXT
research
07/17/2019

Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods

The ever-growing big data and emerging artificial intelligence (AI) dema...
research
12/17/2021

Deep Bayesian Learning for Car Hacking Detection

With the rise of self-drive cars and connected vehicles, cars are equipp...
research
12/23/2020

Generating Comprehensive Data with Protocol Fuzzing for Applying Deep Learning to Detect Network Attacks

Network attacks have become a major security concern for organizations w...
research
02/08/2018

Deep Learning with Apache SystemML

Enterprises operate large data lakes using Hadoop and Spark frameworks t...
research
04/04/2023

Leveraging Deep Learning Approaches for Deepfake Detection: A Review

Conspicuous progression in the field of machine learning and deep learni...
research
01/07/2019

Ten ways to fool the masses with machine learning

If you want to tell people the truth, make them laugh, otherwise they'll...
research
11/10/2022

A classification performance evaluation measure considering data separability

Machine learning and deep learning classification models are data-driven...

Please sign up or login with your details

Forgot password? Click here to reset