Modeling and Analysis of Malware Propagation for IoT Heterogeneous Devices-Reference-Cited by-同舟云学术

Modeling and Analysis of Malware Propagation for IoT Heterogeneous Devices

Published:2023-09 Issue:3 Volume:17 Page:3846-3857
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Zhu Xuejin¹^ORCID,Huang Jie¹^ORCID,Qi Chunyang¹^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

Purple Mountain Laboratories

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10235272/10129214.pdf?arnumber=10129214

Reference28 articles.

1. Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

2. Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

3. A Dynamic Virus Propagation Model Based on Social Attributes in City IoT

4. Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning

5. MTHAEL: Cross-Architecture IoT Malware Detection Based on Neural Network Advanced Ensemble Learning

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2. A Blockchain Based Scalable Domain Access Control Framework for Industrial Internet of Things;IEEE Access;2024

3. Design and Analysis of an Individual-Based Model for Malware Propagation on IoT Networks;Mathematics;2023-12-24

4. Modeling and Analysis for the Propagation of DDoS Attacks in Microgrid System;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14