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Title: Hypervisor Asssisted Forensics and Incident Response in the Cloud.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the 23rd ACM Conference on Computer and Communications Security held October 24-27, 2016 in Vienna, Austria.
Country of Publication:
United States

Citation Formats

Urias, Vincent, and Loverro, Caleb. Hypervisor Asssisted Forensics and Incident Response in the Cloud.. United States: N. p., 2016. Web.
Urias, Vincent, & Loverro, Caleb. Hypervisor Asssisted Forensics and Incident Response in the Cloud.. United States.
Urias, Vincent, and Loverro, Caleb. 2016. "Hypervisor Asssisted Forensics and Incident Response in the Cloud.". United States. doi:.
title = {Hypervisor Asssisted Forensics and Incident Response in the Cloud.},
author = {Urias, Vincent and Loverro, Caleb},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8

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  • The Los Alamos Controlled Air Incinerator (CAI) is a system designed to accept radioactive mixed waste containing alpha-emitting radionuclides. A mathematical model was developed to predict the pressure response throughout the offgas treatment system of the CAI during three hypothetical incident scenarios. The scenarios examined included: (1) loss of burner flame and failure of the flame safeguard system with subsequent reignition of fuel gas in the primary chamber, (2) pyrolytic gas buildup from a waste package due to loss of induced draft and subsequent restoration of induced draft, and (3) accidental charging of propellant spray cans in a solid wastemore » package to the primary chamber during a normal feed cycle. For each of the three scenarios, the finite element computer model was able to determine the transient pressure surge and decay response throughout the system. Of particular interest were the maximum absolute pressures attainable at critical points in the system as well as maximum differential pressures across the high efficiency particulate air (HEPA) filters. Modeling results indicated that all three of the scenarios resulted in maximum HEPA filter differential pressures well below the maximum allowable levels.« less