FuzzDocs: An Automated Security Evaluation Framework for IoT-Reference-Cited by-同舟云学术

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FuzzDocs: An Automated Security Evaluation Framework for IoT

Published:2022 Issue: Volume:10 Page:102406-102420
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

You Myoungsung¹,Kim Yeonkeun²,Kim Jaehan¹,Seo Minjae³,Son Sooel²^ORCID,Shin Seungwon¹^ORCID,Lee Seungsoo⁴^ORCID

Affiliation:

1. School of Electrical Engineering, KAIST, Daejeon, Yeonsu-gu, Republic of Korea

2. School of Computing, KAIST, Daejeon, Yeonsu-gu, Republic of Korea

3. National Security Research Institute, Daejeon, Yeonsu-gu, Republic of Korea

4. Department of Computer Science and Engineering, Incheon National University, Incheon, Yeonsu-gu, Republic of Korea

Funder

Incheon National University (International Cooperative) Research Grant in 2022

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/ielx7/6287639/9668973/09895405.pdf?arnumber=9895405

Reference56 articles.

1. A large-scale empirical study on the effects of code obfuscations on Android apps and anti-malware products

2. Design and Implementation of a Dynamic Information Flow Tracking Architecture to Secure a RISC-V Core for IoT Applications

3. A Novel Framework to Classify Malware in MIPS Architecture-Based IoT Devices

Cited by 2 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. Optimizing QoS and security in agriculture IoT deployments: A bioinspired Q-learning model with customized shards;Heliyon;2024-01

2. Enhancing IoT Security through a Green and Sustainable Federated Learning Platform: Leveraging Efficient Encryption and the Quondam Signature Algorithm;Sensors;2023-09-26

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