ARM-AFL: Coverage-Guided Fuzzing Framework for ARM-Based IoT Devices
- 14 October 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Reliable and Privacy-Preserving Truth Discovery for Mobile Crowdsensing SystemsIEEE Transactions on Dependable and Secure Computing, 2019
- IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based FuzzingPublished by Internet Society ,2018
- What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded DevicesPublished by Internet Society ,2018
- Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity DetectionPublished by Association for Computing Machinery (ACM) ,2017
- Scalable Graph-based Bug Search for Firmware ImagesPublished by Association for Computing Machinery (ACM) ,2016
- LAVA: Large-Scale Automated Vulnerability AdditionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Towards Automated Dynamic Analysis for Linux-based Embedded FirmwarePublished by Internet Society ,2016
- Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary FirmwarePublished by Internet Society ,2015
- Avatar: A Framework to Support Dynamic Security Analysis of Embedded Systems’ FirmwaresPublished by Internet Society ,2014