Evidence map›Paper›PMID 37998250›Full record

ArticleEntropy (Basel, Switzerland)2023

Modelling and Research on Intuitionistic Fuzzy Goal-Based Attack and Defence Game for Infrastructure Networks.

Zhe Li, Jin Liu, Yibo Dong, Jiaqi Ren, Weili Li

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Zhe LiScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.ORCID 0009-0005-3475-0584
Jin LiuScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.
Yibo DongScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.ORCID 0009-0001-9920-8113
Jiaqi RenScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.
Weili LiScience and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China.
National University of Defense Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network attack and defence games are gradually becoming a new approach through which to study the protection of infrastructure networks such as power grids and transportation networks. Uncertainty factors, such as the subjective decision preferences of attackers and defenders, are not considered in existing attack and defence game studies for infrastructure networks. In this paper, we introduce, respectively, the attacker's and defender's expectation value, rejection value, and hesitation degree of the target, as well as construct an intuitionistic fuzzy goal-based attack and defence game model for infrastructure networks that are based on the maximum connectivity slice size, which is a network performance index. The intuitionistic fuzzy two-player, zero-sum game model is converted into a linear programming problem for solving, and the results are analysed to verify the applicability and feasibility of the model proposed in this paper. Furthermore, different situations, such as single-round games and multi-round repeated games, are also considered. The experimental results show that, when attacking the network, the attacker rarely attacks the nodes with higher importance in the network, but instead pays more attention to the nodes that are not prominent in the network neutrality and median; meanwhile, the defender is more inclined to protect the more important nodes in the network to ensure the normal performance of the network.

Indexed as

attack and defence gamesinfrastructure networksintuitionistic fuzzy setnetwork sciencerepeated games

Identifiers

PMID37998250
PMCPMC10670381
OpenAlexW4388795799

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.