Building an Effective Classifier for Phishing Web Pages Detection: A Quantum-Inspired Biomimetic Paradigm Suitable for Big Data Analytics of Cyber Attacks
To combat malicious domains, which serve as a key platform for a wide range of attacks, domain name service (DNS) data provide rich traces of Internet activities and are a powerful resource. This paper presents new research that proposes a model for finding malicious domains by passively analyzing D...
Main Authors: | Saad M. Darwish, Dheyauldeen A. Farhan, Adel A. Elzoghabi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/8/2/197 |
Similar Items
-
Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning
by: Mohammed Alsaedi, et al.
Published: (2022-04-01) -
A Lightweight Anti-Phishing Technique for Mobile Phone
by: Abdul Abiodun Orunsolu, et al.
Published: (2017-12-01) -
A Novel Model Based on Ensemble Learning for Phishing Attack
by: Ahmet Ulu, et al.
Published: (2024-10-01) -
Unbalanced Web Phishing Classification through Deep Reinforcement Learning
by: Antonio Maci, et al.
Published: (2023-06-01) -
Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation
by: Ahmad Sahban Rafsanjani, et al.
Published: (2024-01-01)