Vulnerability Assessment of Critical infrastructure against Acoustic Sensor of Smart and Unmanned aerial threats

Authors

Abstract

Vulnerability assessment of critical infrastructure is always a major concern for the country's leaders in the field of strategic management, monitoring and evaluation of the safety and security situation. To deal with the vulnerability of infrastructure and the probability of threats against them and the use of safe and efficient deterrent, it’s necessary to identify the important factors that causes damage to the infrastructure .One of the effective factors contributing to identify infrastructure is sound waves emitted by the infrastructure that has so far received little attention. The main innovation of this study is the vulnerability assessment of the infrastructure against threats that use acoustic sensors. Due to the uncertainty in predicting the behavior of acoustic waves, sensors and radar systems and the need to spatial analysis to assess the vulnerability, in this study have been trying to use fuzzy logic to model the behavior of the parameters used in the framework of a Geographic Information System. The model was implemented for the region around Natanz with hypothetical information and vulnerability map was presented at the end. Distribution of acoustic waves around infrastructure, position of radar systems, the ability to define the space around by radars and sensors are effective factors in Vulnerability assessment. Considering the hypothetical positioning, infrastructure accessible by unmanned aerial threat in a path on the southeast side. Location of radar systems, the ability to define the space around the sensors detected by the system, as well as the vulnerability of infrastructure is a decisive factor. Location of radar systems can be used to cover the access paths to minimize the vulnerability of infrastructure.

Keywords


Volume 7, Issue 2 - Serial Number 24
September 2016
Pages 149-157
  • Receive Date: 30 January 2019
  • Revise Date: 22 November 2024
  • Accept Date: 30 January 2019
  • Publish Date: 30 January 2019