Huang, L, and Zhu, Q. Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability. Retrieved from https://par.nsf.gov/biblio/10312135. International Conference on Decision and Game Theory for Security (GameSec 2021) . Web. doi:10.1007/978-3-030-90370-1_17.

Huang, L, & Zhu, Q. Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability. International Conference on Decision and Game Theory for Security (GameSec 2021), (). Retrieved from https://par.nsf.gov/biblio/10312135. https://doi.org/10.1007/978-3-030-90370-1_17

Huang, L, and Zhu, Q. "Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability". International Conference on Decision and Game Theory for Security (GameSec 2021) (). Country unknown/Code not available. https://doi.org/10.1007/978-3-030-90370-1_17. https://par.nsf.gov/biblio/10312135.

@article{osti_10312135,
place = {Country unknown/Code not available}, title = {Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability}, url = {https://par.nsf.gov/biblio/10312135}, DOI = {10.1007/978-3-030-90370-1_17}, abstractNote = {}, journal = {International Conference on Decision and Game Theory for Security (GameSec 2021)}, author = {Huang, L and Zhu, Q.}, editor = {Bosansky, B. and Gonzalez, C. and Rass, S. and Sinha, A.} }