Detection of Data Scarce Malware Using One-Shot Learning With Relation Network-Reference-Cited by-同舟云学术

Detection of Data Scarce Malware Using One-Shot Learning With Relation Network

Published:2023 Issue: Volume:11 Page:74438-74457
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Faiza Babar¹^ORCID,Durad Muhammad Hanif¹^ORCID,Khan Asifullah²^ORCID,Khan Farrukh Aslam³^ORCID,Chauhdary Sajjad Hussain⁴^ORCID,Alqarni Mohammed⁵^ORCID

Affiliation:

1. CIPMA Laboratory, DCIS, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan

2. Pattern Recognition Laboratory, DCIS, PIEAS, Nilore, Islamabad, Pakistan

3. Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia

4. Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

5. Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

Funder

Deputyship for Research & Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10175371.pdf?arnumber=10175371

Reference44 articles.

1. Low Data Drug Discovery with One-Shot Learning

2. Meta networks;munkhdalai;Proc Int Conf Mach Learn,2017

3. One-Shot Learning for Semantic Segmentation

4. Image-Based Unknown Malware Classification with Few-Shot Learning Models

5. Improving classification accuracy using data augmentation on small data sets

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