1. Exploring Effectiveness of HIDS for Machine-Learning Data Defense Open Access Author: Vommi, Himani Title: Exploring Effectiveness of HIDS for Machine-Learning Data Defense Area of Honors: Information Sciences and Technology Keywords: cybersecuritymachine learningSIEMAPTadvanced persistent threatssecurity validationSplunkHIDSintrusion detection systemdetection evasionMITRE File: Download Exploring_Effectiveness_of_HIDS_for_Machine-Learning_Data_Defense_FINAL.pdf Thesis Supervisors: John Andrew Landmesser, Thesis SupervisorAngela Lynn Putman, Thesis Honors Advisor