A Novel Machine Learning Cyber Approach for Detecting WannaLocker Ransomware Attack on Android Devices-Reference-Cited by-同舟云学术

A Novel Machine Learning Cyber Approach for Detecting WannaLocker Ransomware Attack on Android Devices

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information Technology (ICIT)
language:
Short-container-title:

Author:

AlJamal Mahmoud¹,Alquran Rabee¹,AL-Aiash Issa¹,Mughaid Ala¹,AlZu'bi Shadi²,Abutabanjeh Ala A.³

Affiliation:

1. Al-Hussien bin Abdullah for IT The Hashemite University,Faculty of Prince,Department of Information Technology,Zarqa,Jordan,13133

2. Al Zaytoonah University of Jordan,Computer Science Department,Amman,Jordan

3. Concordia University,Department of Business Administration,Chicago,IL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10225686/10225751/10226130.pdf?arnumber=10226130

Reference23 articles.

1. Enhanced Android Malware Detection and Family Classification, using Conversation-level Network Traffic Features

2. An Effective Android Ransomware Detection Through Multi-Factor Feature Filtration and Recurrent Neural Network

3. Utilizing machine learning algorithms for effectively detection iot ddos attacks;mughaid;International Conference on Advanced Research in Computing,0

4. An intelligent cybersecurity system for detecting fake news in social media websites

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