DERIVING A FRAMEWORK FOR INSIDER RISK POTENTIAL USING ARTIFICIAL NEURAL NETWORKS FOR INSIDER THREAT DETECTION & MITIGATION.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2004220
- Report Number(s):
- SAND2022-10157C; 708664
- Country of Publication:
- United States
- Language:
- English
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