Disintegration of Operational Capability of Heterogeneous Combat Networks Under Incomplete Information

Li, Jichao; Zhao, Danling; Ge, Bingfeng; Jiang, Jiang; Yang, Kewei

doi:10.1109/tsmc.2018.2867532

Cited by 30 publications

(29 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the follow-up researches of HCN, the main difference is to determine whether there is a target node or not. Since all entities of the enemy can be regarded as target nodes, the target nodes are not considered independently in many researches [3], [4], [39], [40]. Based on this idea, the target nodes will not be introduced in our work.…”

Section: B Heterogeneous Combat Networkmentioning

confidence: 99%

“…The specific definition of operational chain slightly changes in different works. For example, in references [3], [4], no target entity exists in operational chain; in references [5], [6], [16], [17], [44], the chain includes target entity. Since the combat networks we will study only consist of sensor, decider and influencer, the operational chain excludes the target entity in this paper.…”

Section: Operational Chainmentioning

confidence: 99%

“…index (OCI) has been used to investigate the functional robustness [3], network disintegration [4], equipment contribution [5], equipment portfolio [6] and mission planning [8] of combat system-of-systems. Being derived strictly from observe, orient, decide, and act (OODA) cycle theory [9] and the concept of the operational chain (OC) [3], [4], OCI can effectively integrate the different behaviors and capabilities of heterogeneous entities, accurately describe the cooperative relationship among combat forces in joint operations, and fully reflect the characteristics and rules of modern warfare. Many useful insights for the combat system-of-systems construction and operational guidance are provided based on OCI [3]- [6], [8], [10].…”

Section: Introductionmentioning

confidence: 99%

“…However, collecting these data from actual warfare is impractical. First, owing to the deep uncertainty of warfare [4], [14], the information of an observed combat network may contain some missing or erroneous data since the intelligence collection is always incompleteness. Second, adequate number of comparable combat networks cannot be obtained because construction of the combat system-of-systems is tolerably expensive [15].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

Chen

Liu

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In high-tech informative warfare, the combat system-of-systems which become increasingly functional and complex can be abstracted as heterogeneous combat networks (HCNs). The operational capability index (OCI) formula is an important model to evaluate the performance of HCNs. To prevent the error of accepting wrong conclusions when using OCI model, the correctness and accuracy of the model should be substantiated before making critical decisions. Accordingly, this paper presents an integrated methodology of framework named operational capability index model validation based on characteristic topology analysis (OCVCT) for validating and testing the OCI model. In this framework, a concept named characteristic topology, which conforms to military rules and has the highest operational capability assessment, is put forward to replace the compact model as the validation candidate. To search for characteristic topology efficiently, we propose an improved genetic algorithm (GA) with the key-gene oriented crossover operator which considers the prior knowledge of combat networks and takes advantages of both binary and real encoding methods. A case study proves the effectiveness of OCVCT. Moreover, compared with two state-of-the-art and one classical GAs, the improved GA has superiority in convergence speed and reliability. The idea of OCVCT also has a potential application prospect for various evaluation model validations of combat networks. INDEX TERMS Operational capability index, model validation, characteristic topology, genetic algorithm, heterogeneous combat networks, operational chain.

show abstract

Section: B Heterogeneous Combat Networkmentioning

confidence: 99%

Section: Operational Chainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

Chen

Liu

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The directionality of communications is an important feature that is not ignorable for IoBT networks. For example, the command and control node will receive data from the sensing node, generate the operation command, and send it to the fire strike node [ 5 , 24 , 25 , 26 ]. In this process, the information can only propagate between nodes along the sending direction or receiving direction.…”

Section: Introductionmentioning

confidence: 99%

Robustness of Internet of Battlefield Things (IoBT): A Directed Network Perspective

Feng,

Li,

Zeng

et al. 2020

Entropy

View full text Add to dashboard Cite

Through the combination of various intelligent devices and the Internet to form a large-scale network, the Internet of Things (IoT) realizes real-time information exchange and communication between devices. IoT technology is expected to play an essential role in improving the combat effectiveness and situation awareness ability of armies. The interconnection between combat equipment and other battlefield resources is referred to as the Internet of Battlefield Things (IoBT). Battlefield real-time data sharing and the cooperative decision-making among commanders are highly dependent on the connectivity between different combat units in the network. However, due to the wireless characteristics of communication, a large number of communication links are directly exposed in the complex battlefield environment, and various cyber or physical attacks threaten network connectivity. Therefore, the ability to maintain network connectivity under adversary attacks is a critical property for the IoBT. In this work, we propose a directed network model and connectivity measurement of the IoBT network. Then, we develop an optimal attack strategy optimization model to simulate the optimal attack behavior of the enemy. By comparing with the disintegration effect of some benchmark strategies, we verify the optimality of the model solution and find that the robustness of the IoBT network decreases rapidly with an increase of the unidirectional communication links in the network. The results show that the adversary will change the attack mode according to the parameter settings of attack resources and network communication link density. In order to enhance the network robustness, we need to adjust the defense strategy in time to deal with this change. Finally, we validated the model and theoretical analysis proposed in this paper through experiments on a real military network.

show abstract

Towards Intelligent UAV Swarm Mission Planning Methodology and Algorithms

Duan

Wang

et al. 2023

Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022)

View full text Add to dashboard Cite

Disintegration of Operational Capability of Heterogeneous Combat Networks Under Incomplete Information

Cited by 30 publications

References 29 publications

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis

Robustness of Internet of Battlefield Things (IoBT): A Directed Network Perspective

Towards Intelligent UAV Swarm Mission Planning Methodology and Algorithms

Contact Info

Product

Resources

About