Phishing Detection System Through Hybrid Machine Learning Based on URL
Universitas Gadjah Mada · Islamia University of Bahawalpur · +1 more institution
Abstract
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 become the most severe and dangerous cybercrime on the internet. Phishing utilizes email distortion as its underlying mechanism for tricky correspondences, followed by mock sites, to obtain the required data from people in question. Different studies have presented their work on the precaution, identification, and knowledge of phishing attacks; however, there is currently no complete and proper solution for frustrating them. Therefore, machine learning plays a vital role in defending against cybercrimes involving phishing attacks. The…
Citation impact
- FWCI
- 94.99
- Percentile
- 100%
- References
- 75
Authors
5Topics & keywords
- Phishing
- Computer science
- Machine learning
- Support vector machine
- Random forest
- Naive Bayes classifier
- Artificial intelligence
- Decision tree
- Peace, Justice and strong institutions