A Comprehensive Analysis of Today’s Malware and Its Distribution Network: Common Adversary Strategies and Implications-Reference-Cited by-同舟云学术

A Comprehensive Analysis of Today’s Malware and Its Distribution Network: Common Adversary Strategies and Implications

Published:2022 Issue: Volume:10 Page:49566-49584
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Huh Siwon¹^ORCID,Cho Seonghwan²,Choi Jinho²^ORCID,Shin Seungwon³^ORCID,Lee Hojoon¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Sungkyunkwan University, Jangan-gu, Suwon-si, Republic of Korea

2. Graduate School of Information Security, School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, South Korea

3. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, South Korea

Funder

National Research Foundation of Korea

Korean Government

Ministry of Science, ICT (MSIT), Korea, under the High-Potential Individuals Global Training Program

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/ielx7/6287639/9668973/09765474.pdf?arnumber=9765474

Reference71 articles.

1. Efficient deep learning techniques for the detection of phishing websites

2. Malweb: An Efficient Malicious Websites Detection System using Machine Learning Algorithms

3. Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT Edge Devices

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