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Author:

Vommi, Himani

Title:

Exploring Effectiveness of HIDS for Machine-Learning Data Defense

Area of Honors:

Information Sciences and Technology

Keywords:

cybersecurity
machine learning
SIEM
APT
advanced persistent threats
security validation
Splunk
HIDS
intrusion detection system
detection evasion
MITRE

File:

Download Exploring_Effectiveness_of_HIDS_for_Machine-Learning_Data_Defense_FINAL.pdf

Thesis Supervisors:

John Andrew Landmesser, Thesis Supervisor
Angela Lynn Putman, Thesis Honors Advisor