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Physical Sciences and Mathematics

Edith Cowan University

Australian Security and Intelligence Conference

Security risk management

Publication Year

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Physical Security Barrier Selection: A Decision Support Analysis, Agnieszka Kiszelewska, Michael Coole Dec 2013

Physical Security Barrier Selection: A Decision Support Analysis, Agnieszka Kiszelewska, Michael Coole

Australian Security and Intelligence Conference

Physical security controls aim to reduce risk through their ability to systematically deter, or detect, delay and respond against deviant acts within a risk context. Holistically the aim is to increase the difficulty and risks while reducing the rewards associated with an act of deviance as captured in Clarke’s Situational Crime Prevention (SCP) framework. The efficacious implementation of such controls commensurate with the risk context requires a considered undertaking referred as informed decision‐making. Informed decision‐making is effective when a suitable choice is made accordant with base rate data that achieves its defined objectives within costs versus benefits framework. The study …


Security Risk Management In The Asia Pacific Region: What Are Security Professional Using?, David J. Brooks, Hamish Cotton Jan 2011

Security Risk Management In The Asia Pacific Region: What Are Security Professional Using?, David J. Brooks, Hamish Cotton

Australian Security and Intelligence Conference

The Asia Pacific (APAC) region encompasses a heterogeneous group of nation-states. Like the APAC region, the security industry operates within a diverse and multi-disciplined knowledge base, with risk management being a fundamental knowledge domain within security. Nevertheless, there has been limited understanding of what security professionals use when applying security risk management. The study was designed to gain a better understanding of risk management practice in place throughout APAC. Questions were generated to gauge an understanding of current practice and levels of implementation of standards and frameworks. Participants were drawn from many industries, using non-probabilistic sampling methods in a “snowball” …