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Identifying Supervisory Control And Data Acquisition (scada) Systems On A Network Via Remote Reconnaissance by Wiberg%2c Kenneth C.

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1Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance

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Presidential Decision Directive (PDD) 63 calls for improving the security of Supervisory Control and Data Acquisition (SCADA) and other control systems which operate the critical infrastructure of the United States. In the past, these industrial computer systems relied on security through obscurity. Recent economic and technical shifts within the controls industry have increased their vulnerability to cyber attack. Concurrently, their value as a target has been recognized by terrorist organizations and competing nation states. Network reconnaissance is a basic tool that allows computer security managers to understand their complex systems. However, existing reconnaissance tools incorporate little or no understanding of control systems. This thesis provides a conceptual analysis for the creation of a SCADA network exploration/reconnaissance tool. Several reconnaissance techniques were researched and reviewed in a laboratory environment to determine their utility for SCADA system discovery. Additionally, an application framework using common non-SCADA security tools was created to provide a proof of concept. Development of a viable tool for identifying SCADA systems remotely will help improve critical infrastructure security by improving situational awareness for network managers.

“Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance” Metadata:

  • Title: ➤  Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 352.33 Mbs, the file-s for this book were downloaded 138 times, the file-s went public at Sun May 05 2019.

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2DTIC ADA457371: Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance

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Presidential Decision Directive (PDD) 63 calls for improving the security of Supervisory Control And Data Acquisition (SCADA) and other control systems which operate the critical infrastructure of the United States. In the past, these industrial computer systems relied on security through obscurity. Recent economic and technical shifts within the controls industry have increased their vulnerability to cyber attack. Concurrently, their value as a target has been recognized by terrorist organizations and competing nation states. Network reconnaissance is a basic tool that allows computer security managers to understand their complex systems. However, existing reconnaissance tools incorporate little or no understanding of control systems. This thesis provided a conceptual analysis for the creation of a SCADA network exploration/reconnaissance tool. Several reconnaissance techniques were research and reviewed in a laboratory environment to determine their utility for SCADA system discovery. Additionally, an application framework using common non-SCADA security tools was created to provide a proof of concept. Development of a viable tool for identifying SCADA systems remotely will help improve critical infrastructure security by improving situational awareness for network managers.

“DTIC ADA457371: Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance” Metadata:

  • Title: ➤  DTIC ADA457371: Identifying Supervisory Control And Data Acquisition (SCADA) Systems On A Network Via Remote Reconnaissance
  • Author: ➤  
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 145.98 Mbs, the file-s for this book were downloaded 260 times, the file-s went public at Thu Jun 07 2018.

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Abbyy GZ - Archive BitTorrent - DjVuTXT - Djvu XML - JPEG Thumb - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

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