LAVA: A conceptual framework for automated risk assessment
At the Los Alamos National Laboratory the authors are developing the framework for generating knowledge-based systems that perform automated risk analyses on an organizations's assets. An organization's assets can be subdivided into tangible and intangible assets. Tangible assets include facilities, material, personnel, and time, while intangible assets include such factors as reputation, employee morale, and technical knowledge. The potential loss exposure of an asset is dependent upon the threats (both static and dynamic), the vulnerabilities in the mechanisms protecting the assets from the threats, and the consequences of the threats successfully exploiting the protective systems vulnerabilities. The methodology is based upon decision analysis, fuzzy set theory, natural language processing, and event tree structures. The Los Alamos Vulnerability and Risk Assessment (LAVA) methodology has been applied to computer security. The program generates both summary reports for use by both management personnel and detailed reports for use by operations staff.
- Research Organization:
- Los Alamos National Lab., Los Alamos, NM 87545
- OSTI ID:
- 5093665
- Report Number(s):
- CONF-860654-
- Journal Information:
- Nucl. Mater. Manage. Annu. Meet. Proc.; (United States), Journal Name: Nucl. Mater. Manage. Annu. Meet. Proc.; (United States) Vol. 15; ISSN NUMMB
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
Inspection
& Accountability-- Technical Aspects
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ARTIFICIAL INTELLIGENCE
COMPUTER CODES
COMPUTERIZED SIMULATION
COMPUTERS
DECISION MAKING
DIGITAL COMPUTERS
EXPERT SYSTEMS
FAULT TREE ANALYSIS
KNOWLEDGE BASE
L CODES
LASL
NATIONAL ORGANIZATIONS
NATURAL LANGUAGE
NUCLEAR FACILITIES
PERSONAL COMPUTERS
PERSONNEL
PHYSICAL PROTECTION DEVICES
PROGRAMMING LANGUAGES
RISK ASSESSMENT
SECURITY
SIMULATION
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
US AEC
US DOC
US DOE
US ERDA
US NBS
US NRC
US ORGANIZATIONS