APA (7th ed.) Citation

Song, E., Zhao, Y., Zhang, C., Zhai, J., Cai, R., Liu, L., . . . Liu, S. (2025). Nonstandard Sinks Matter: A Comprehensive and Efficient Taint Analysis Framework for Vulnerability Detection in Embedded Firmware. IEEE transactions on dependable and secure computing, 1-17. https://doi.org/10.1109/TDSC.2025.3619200

Chicago Style (17th ed.) Citation

Song, Enzhou, Yuhao Zhao, Can Zhang, Jinyuan Zhai, Ruijie Cai, Long Liu, Qichao Yang, Xiaokang Yin, and Shengli Liu. "Nonstandard Sinks Matter: A Comprehensive and Efficient Taint Analysis Framework for Vulnerability Detection in Embedded Firmware." IEEE Transactions on Dependable and Secure Computing 2025: 1-17. https://doi.org/10.1109/TDSC.2025.3619200.

MLA (9th ed.) Citation

Song, Enzhou, et al. "Nonstandard Sinks Matter: A Comprehensive and Efficient Taint Analysis Framework for Vulnerability Detection in Embedded Firmware." IEEE Transactions on Dependable and Secure Computing, 2025, pp. 1-17, https://doi.org/10.1109/TDSC.2025.3619200.