MDC-Net:Intelligent Malware Detection and Classification using Extreme Learning Machine-Reference-Cited by-同舟云学术

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MDC-Net:Intelligent Malware Detection and Classification using Extreme Learning Machine

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
language:
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Author:

Reddy V S K¹,Nagaraju I.²,Gayatri Mantri³,R Roopa Chandrika²,P Dileep³,P Revathy⁴

Affiliation:

1. Malla Reddy University,Department of ECE,Hyderabad,India

2. Malla Reddy College of Engineering and Technology,Dept of CSE(Emerging Technologies),Hyderabad,Telangana State

3. Malla Reddy College of Engineering and Technology,Dept of CSE,Hyderabad,Telangana State

4. Narsimha Reddy Engineering College,Dept of CSE,Hyderabad,Telangana State

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073874.pdf?arnumber=10073874

Reference20 articles.

1. Malware Detection and Prevention using Artificial Intelligence Techniques

2. The Multi-objective Feature Selection in Android Malware Detection System

3. A Comprehensive Survey on Machine Learning Techniques for Android Malware Detection

4. HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs

5. Host-Server-Based Malware Detection System for Android Platforms Using Machine Learning

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey;Expert Systems with Applications;2024-11

2. Malware Detection Using a Novel Machine Learning Dynamic Ensemble Classification Approach;2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS);2024-04-18

3. CPL-Net: A Malware Detection Network Based on Parallel CNN and LSTM Feature Fusion;Electronics;2023-09-25

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