DocumentCode
2771204
Title
Security risk assessment methodology for communities (RAM-C)
Author
Jaeger, Cal
Author_Institution
Security Syst. & Technol. Center, Sandia Nat. Labs., Albuquerque, NM, USA
fYear
2004
fDate
11-14 Oct. 2004
Firstpage
106
Lastpage
110
Abstract
Sandia National Laboratories (SNL) has developed a number of security risk assessment methodologies (RAMs) for various infrastructures including dams, water systems, electrical transmission, chemical facilities and communities. All of these RAMs consider potential malevolent attacks from different threats, possible undesired events and consequences and determine potential adversary success. They focus on the assessment of these infrastructures to help identify security weaknesses and develop measures to help mitigate the consequences from possible adversary attacks. This paper focuses on RAM-C, the security risk assessment methodology for communities. There are many reasons for a community to conduct a security risk assessment. They include: providing a way to identify vulnerabilities, helping a community to be better prepared in the event of an adversary attack, providing justification for resources to address identified vulnerabilities and planning for future projects. The RAM-C process is a systematic, risk-based approach to assess vulnerabilities and make decisions based on risk. It has provided valuable information to community planners in making security risk decisions.
Keywords
risk management; security; town and country planning; RAM-C; Sandia National Laboratories; chemical facilities; dams; electrical transmission; infrastructures assessment; malevolent attacks; risk assessment methodology; security risk decisions; systematic approach; water systems; Chemical technology; Fires; Information security; Laboratories; Law enforcement; Management training; National security; Personnel; Protection; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Security Technology, 2004. 38th Annual 2004 International Carnahan Conference on
Print_ISBN
0-7803-8506-3
Type
conf
DOI
10.1109/CCST.2004.1405377
Filename
1405377
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