APA (7th ed.) Citation

Xie, Y., Feng, D., Hu, Y., Li, Y., Sample, S., & Long, D. L. (2020). Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments. IEEE transactions on dependable and secure computing, 17(6), 1283-1296. https://doi.org/10.1109/TDSC.2018.2867595

Chicago Style (17th ed.) Citation

Xie, Yulai, Dan Feng, Yuchong Hu, Yan Li, Staunton Sample, and Darrell Long Long. "Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments." IEEE Transactions on Dependable and Secure Computing 17, no. 6 (2020): 1283-1296. https://doi.org/10.1109/TDSC.2018.2867595.

MLA (9th ed.) Citation

Xie, Yulai, et al. "Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments." IEEE Transactions on Dependable and Secure Computing, vol. 17, no. 6, 2020, pp. 1283-1296, https://doi.org/10.1109/TDSC.2018.2867595.