An Evaluation method for C2 Cyber-Physical Systems Reliability Based on Deep Learning

reportActive / Technical Report | Accession Number: ADA607655 | Open PDF

Abstract:

As the battle space for Command and Control C2 has grown more complex, the C2 reliability that threatens their ability is facing many new challenges. The Cyber-Physical System CPS technology is brought into C2 systems, C2 CPS architecture is structured, and a real-time online method for evaluating the reliability of C2 CPS is designed. The method establishes an assessment framework with use of deep learning, implements an online rank algorithm, and achieves the online analysis and evaluation of the reliability of the C2 CPS. The simulation experiments show the validity and correctness of the assessment method is verified. The system reliability has been greatly improved.

Author(s):
He, Ming ; Zou, Qingbing ; Chen, Xiliang ; Kang, Kai
Author Organization(s):
PLA SCIENCE AND TECHNOLOGY UNIV NANJING (CHINA)
Descriptive Note:
Conference paper
Supplementary Note:
Presented at the 19th International Command & Control Research & Technology Symposium (ICCRTS) held 16-19 June, 2014 in Alexandria, VA.
Pagination:
0006

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
X5
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_1.2.3_Educating; JCA_4.6_Engineering
Modernization Areas:
Fully Networked C3
Communities of Interest:
C4I
Descriptor(s):
*COMMAND AND CONTROL SYSTEMS, CHINA, RELIABILITY, TEST AND EVALUATION
Field(s)/Group(s):
Command, Control and Communications Systems
Keyword(s):
C2 CPS(COMMAND AND CONTROL CYBER PHYSICAL SYSTEMS), ONLINE ASSESSMENT, DEEP LEARNING, FOREIGN REPORTS
Report Date:
2014 Jun 01
Creation Date:
2014 Oct 01