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2024
- Large Language Model guided Protocol Fuzzing
- LABRADOR: Response Guided Directed Fuzzing for Black-box IoT Devices
- From One Thousand Pages of Specification to Unveiling Hidden Bugs: Large Language Model Assisted Fuzzing of Matter IoT Devices
- Fuzztruction Using Fault Injection-based Fuzzing to Leverage Implicit Domain Knowledge
- Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes
- Understanding the (In)Security of Cross-side Face Verification Systems in Mobile Apps: A System Perspective
- How to find idea and transform to paper
- Discoverer: Automatic Protocol Reverse Engineering from Network Traces
- CP-IoT: A Cross-Platform Monitoring System for Smart Homes
- Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions
2023
- AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering
- Fingerprinting and Analysis of Bluetooth Devices with Automata Learning
- Stateful Black-Box Fuzzing of Bluetooth Devices Using Automata Learning
- Learning-Based Fuzzing of IoT Message Brokers
- Tamarin’s Document
- 0516集中学习
- IOTFUZZER: Discovering Memory Corruptions in IoT Through App-based Fuzzing
- Frida常用的api大全(准确说是一些功能的实现)
- 使用Frida去hook一些奇奇怪怪的函数名
- 基于mitmproxy+iptables+SSL pinning绕过技术+wireshark的安卓APP流量(包括HTTP、HTTPS和非HTTP)捕获
- Security Analysis of Device Binding for IP-based IoT Devices
2022
- Frida入门笔记
- Evasion Attacks and Defenses on Smart Home Physical Event Verification
- Discovering IoT Physical Channel Vulnerabilities
- KINGFISHER: Unveiling Insecurely Used Credentials in IoT-to-Mobile Communications
- DIANE: Identifying Fuzzing Triggers in Apps to Generate Under-constrained Inputs for IoT Devices
- 物联网访问控制安全性综述笔记
- 如何做好文献阅读及笔记整理
- 物联网安全研究综述:威胁、检测与防御笔记
- Android逆向学习笔记3
- Android逆向学习笔记2
- Android逆向学习笔记1
- 物联网平台关键组件安全研究
- MQTT协议
- 基于人工智能的漏洞挖掘笔记
- 如何写好一篇论文
- 基于深度学习的软件安全漏洞挖掘笔记
- 人工智能在网络安全领域的应用及技术综述笔记
- 基于自然语言处理的漏洞检测方法综述笔记