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A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware., , , , , , , , , and 1 other author(s). ISSTA, page 442-454. ACM, (2022)One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware., , , , , , , , , and 1 other author(s). CoRR, (2022)SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices., , , , , , , , , and 1 other author(s). CoRR, (2023)MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols., , , , , , , , , and 1 other author(s). CoRR, (2022)MINER: A Hybrid Data-Driven Approach for REST API Fuzzing., , , , , , , , , and . USENIX Security Symposium, page 4517-4534. USENIX Association, (2023)MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols., , , , , , , , , and 1 other author(s). USENIX Security Symposium, page 4205-4222. USENIX Association, (2021)Research on the interactive effects of online scores., , and . Electron. Commer. Res. Appl., 13 (6): 402-408 (2014)MINER: A Hybrid Data-Driven Approach for REST API Fuzzing., , , , , , , , and . CoRR, (2023)UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware., , , , , , , and . USENIX Security Symposium, page 3421-3438. USENIX Association, (2023)Fractal interpolation-based forecasting model of rumor spreading situation., , and . IMMS, page 195-199. ACM, (2018)