A Deep Learning Approach to Discover Router Firmware Vulnerabilities-Reference-Cited by-同舟云学术

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A Deep Learning Approach to Discover Router Firmware Vulnerabilities

Published:2024-01 Issue:1 Volume:20 Page:691-702
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Abu-Mahfouz Amjad¹,Alrabaee Saed²^ORCID,Khasawneh Mahmoud³,Gergely Marton²,Choo Kim-Kwang Raymond⁴^ORCID

Affiliation:

1. York University, Toronto, ON, Canada

2. Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

3. Department of Computer Engineering, Al Ain University, Abu Dhabi, United Arab Emirates

4. Department of Information System and Cybersecurity, University of Texas at San Antonio, San Antonio, TX, USA

Funder

United Arab Emirates University–Zayed University Joint Research Program

AUA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/9424/10355676/10108534.pdf?arnumber=10108534

Reference30 articles.

1. DTaint: Detecting the Taint-Style Vulnerability in Embedded Device Firmware

2. Semantic Learning Based Cross-Platform Binary Vulnerability Search For IoT Devices

3. Combinatorial Analysis for Securing IoT-Assisted Industry 4.0 Applications From Vulnerability-Based Attacks

4. Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

5. Class-Incremental Learning for Wireless Device Identification in IoT

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1. Survey of source code vulnerability analysis based on deep learning;Computers & Security;2025-01

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