Sensitive Target-Guided Directed Fuzzing for IoT Web Services
Source abstract
Abstract
The development of the Internet of Things (IoT) has brought convenience to people’s lives, but it also introduces significant security risks. Due to the limitations of IoT devices themselves and the challenges of re-hosting... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: IoT and Edge/Fog Computing · Optimization and Search Problems · Mobile Agent-Based Network Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Sinha S. Connected IoT devices forecast 2024-2030. 2024 [cited 2025 Jan 8]. Available from: https://iot-analytics.com/number-connected-iot-devices/.
2. Internet of things statistics for 2025—taking things apart 2023. [cited 2024 Feb 18]. Available from: https://dataprot.net/statistics/iot-statistics/.
3. Karonte: detecting insecure multi-binary interactions in embedded firmware
4. Sharing more and checking less: leveraging common input keywords to detect bugs in embedded systems
5. Detecting vulnerabilities in Linux-based embedded firmware with SSE-based on-demand alias analysis
6. Faster and better: detecting vulnerabilities in Linux-based iot firmware with optimized reaching definition analysis
7. Operation mango: scalable discovery of taint-style vulnerabilities in binary firmware services
8. Symbolic Query on Decompiled Code for Finding Bugs in COTS Binaries
9. UCRF: static analyzing firmware to generate under-constrained seed for fuzzing SOHO router10.1016/j.cose.2023.103157 ↗
10. FirmFuzz: automated IoT firmware introspection and analysis
11. Snipuzz: black-box fuzzing of IoT firmware via message snippet inference
12. Game of hide-and-seek: exposing hidden interfaces in embedded web applications of IoT devices
13. FIRM-AFL: high-throughput greybox fuzzing of iot firmware via augmented process emulation
14. Efficient greybox fuzzing of applications in Linux-based IoT devices via enhanced user-mode emulation
15. FirmAE: towards large-scale emulation of IoT firmware for dynamic analysis
16. SoK: enabling security analyses of embedded systems via rehosting
17. Towards automated dynamic analysis for Linux-based embedded firmware
18. Greenhouse: single-service rehosting of linux-based firmware binaries in user-space emulation
19. Antenna systems for IoT applications: a review10.1007/s43621-024-00638-z ↗
20. Machine learning solutions for the security of wireless sensor networks: a review10.1109/ACCESS.2024.3355312 ↗
21. Security risk models against attacks in smart grid using big data and artificial intelligence10.7717/peerj-cs.1840 ↗
22. Joern—The bug hunter’s workbench. [cited 2024 May 23]. Available from: https://joern.io/.
23. Fuzzing embedded systems using debug interfaces
24. LLMIF: augmented large language model for fuzzing IoT devices
25. Large language model guided protocol fuzzing