Evaluation method and optimization strategies of resilience for air &amp; space defense system of systems based on kill network theory and improved self-information quantity

Han, Qi; Pang, Bo; Li, Sen; Li, Ning; Guo, Peng-song; Fan, Chengli; Liu, Weimin

doi:10.1016/j.dt.2023.01.005

Cited by 16 publications

(3 citation statements)

References 26 publications

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“…It is often utilized to address the issue of incomplete and uncertain information in the field of AI. The main elements of Bayesian network include the conditional probability table (CPT), network nodes, and directed arcs (Chen et al, 2023). The modeling of Bayesian networks mainly includes two aspects: structural learning and data learning.…”

Section: Methods For Diagnosing Faults In Airborne Electronic Equipme...mentioning

confidence: 99%

Fault Diagnosis of Airborne Electronic Equipment Based on Dynamic Bayesian Networks

Chen,

Qian

2023

International Journal of Intelligent Information Technologies

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With the rapid development of the aerospace industry, the structure of airborne electronic equipment has become more complex, which to some extent increases the difficulty of fault detection and maintenance of airborne electronic equipment. Traditional manual fault diagnosis methods can no longer fully meet the diagnostic needs of airborne electronic equipment. Therefore, this chapter uses dynamic Bayesian network to diagnose the faults of airborne electronic equipment. The basic idea of using a dynamic Bayesian network-based fault diagnosis method for airborne electronic devices is to mine data based on historical fault data of airborne electronic devices, and obtain fault symptoms and training data of airborne electronic devices. For non-essential fault symptoms, rough set theory was introduced to reduce their attributes and obtain the simplest attribute set, thereby simplifying the network model.

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Section: Methods For Diagnosing Faults In Airborne Electronic Equipme...mentioning

confidence: 99%

Fault Diagnosis of Airborne Electronic Equipment Based on Dynamic Bayesian Networks

Chen,

Qian

2023

International Journal of Intelligent Information Technologies

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“…MEF is a basic and minimum force standard of the TNI, which is absolutely prepared as the main and fundamental prerequisite for effectively implementing the main tasks and functions of the TNI in dealing with actual threats (Afenyo & Caesar, 2023;Han et al, 2023;Tuncer & Cirpan, 2023). If briefly understood, MEF is a gradual process to meet the minimum standards of the country's defense system that focuses on the completeness of defense equipment, such as efforts to modernize the Main Equipment of the Weapon System (defense equipment).…”

Section: Introductionmentioning

confidence: 99%

Implementation of the Modernization Policy of the Main Equipment of the National Maritime Defense Weapon System

Armadani,

Kosandi

2024

IJSSR

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This study explores the implementation of the Navy's main weapon system modernization policy in the context of meeting the Minimum Essential Forces (MEF) Phase II for the 2015-2019 period, whose main focus is to overcome threats to national security. The purpose of the study is to explain the implementation process of the Navy's defense equipment modernization policy related to MEF and analyze policy factors that affect the results of its implementation. Using defense policy data and theory, the study identified obstacles such as budget constraints, differences in understanding between policy actors, less optimal supervision, and the role of the defense industry that has not been maximized. Document evaluation, interviews, and monitoring by defense experts show that the main constraint is not just related to limited resources, but rather to the imbalance of political will of policy actors. Consistency of implementation, commitment to transparency, accountability, and improvement of resource capabilities through priority scale and empowerment of the defense industry require the support of political will. The contribution of this research includes the development of political science, particularly in the context of defense and security politics. The results can be a reference for future researchers who are interested in understanding the issue of defense equipment modernization. The successful implementation of this policy is expected to have a significant impact on national defense and national security policies, with the support of political will identified as the main key to minimizing conflicts of interest and increasing the effectiveness of MEF implementation, maintaining national security.

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“…In the current research, the mainstream method for calculating the combat capability of a SOS is based on the number of kill chains. Reference [13] calculates the combat capability of the SoS based on the number of kill chains and subsequently analyzes the resilience through the changes in its combat capability. Other references that calculate the combat capability of a SoS based on the number of kill chains include references [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Complex Network-Based Resilience Capability Assessment for a Combat System of Systems

Chen,

Li,

Zhang

2024

Systems

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With the increasing complexity and frequency of interactions among a large number of heterogeneous nodes within a combat system of systems (SoS), evaluating the capability of the SoS to withstand external attacks and interferences has become an increasingly challenging and urgent issue. However, the complexity of a combat SoS often brings about difficulties in quantitative analysis. This paper proposes a method to assess the resilience of a combat SoS. Firstly, a network model of a combat SoS is constructed, taking into account multi-functional composite nodes. Secondly, the combat capability model of the combat SoS is built based on the capabilities of the kill chains and kill networks. Lastly, an approach is proposed to calculate the combat capability of the system based on the network’s two-terminal connectivity. Moreover, based on the SoS’s combat capability, the resilience is analyzed from the dimensions of anti-destruction, survival, and recovery. The simulation experiments show that, compared to other methods, the method in this paper for calculating the combat capability of the combat SoS does not depend on the number of kill chains and aligns with the combat processes and actual patterns. Additionally, the resilience measurement method can effectively analyze its capability to cope with external interferences.

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Evaluation method and optimization strategies of resilience for air & space defense system of systems based on kill network theory and improved self-information quantity

Cited by 16 publications

References 26 publications

Fault Diagnosis of Airborne Electronic Equipment Based on Dynamic Bayesian Networks

Fault Diagnosis of Airborne Electronic Equipment Based on Dynamic Bayesian Networks

Implementation of the Modernization Policy of the Main Equipment of the National Maritime Defense Weapon System

Complex Network-Based Resilience Capability Assessment for a Combat System of Systems

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