A cyber–physical system prospect theoretic game through a VANET lens

IF 1.5 Q3 TELECOMMUNICATIONS IET Wireless Sensor Systems Pub Date : 2024-12-15 DOI:10.1049/wss2.12102
Ahmed A. Alabdel Abass
{"title":"A cyber–physical system prospect theoretic game through a VANET lens","authors":"Ahmed A. Alabdel Abass","doi":"10.1049/wss2.12102","DOIUrl":null,"url":null,"abstract":"<p>In this paper, the problem of attack mitigation in an intelligent transportation network or vehicular network is considered as a game. The player’s perception of uncertainty and decision making is studied under a subjective prospect theoretic (PT) model and an objective expected utility theory (EUT) model. A game where each player chooses one of two strategies with certain probabilities is analysed. The case where subjective players bias their choices of the probabilities using the Prelec weighting function <span></span><math>\n <semantics>\n <mrow>\n <mi>w</mi>\n <mrow>\n <mo>(</mo>\n <mo>.</mo>\n <mo>)</mo>\n </mrow>\n </mrow>\n <annotation> $w(.)$</annotation>\n </semantics></math> is considered and compared with the EUT based decisions and the effect of the framing effect function <span></span><math>\n <semantics>\n <mrow>\n <mi>ν</mi>\n <mrow>\n <mo>(</mo>\n <mo>.</mo>\n <mo>)</mo>\n </mrow>\n </mrow>\n <annotation> $\\nu (.)$</annotation>\n </semantics></math> and <span></span><math>\n <semantics>\n <mrow>\n <mi>w</mi>\n <mrow>\n <mo>(</mo>\n <mo>.</mo>\n <mo>)</mo>\n </mrow>\n </mrow>\n <annotation> $w(.)$</annotation>\n </semantics></math>. The corresponding Nash equilibria (NE) are derived and found through the replicator dynamic equation. Under the Prelec function, the results agree with the previously published results that the defender is biased more into defending the more important road side units. However, under both the <span></span><math>\n <semantics>\n <mrow>\n <mi>w</mi>\n <mrow>\n <mo>(</mo>\n <mo>.</mo>\n <mo>)</mo>\n </mrow>\n </mrow>\n <annotation> $w(.)$</annotation>\n </semantics></math> function and the framing effect, the players' behaviour does not depend on the loss penalty parameter, and the Prelec function dominates the framing effect. For small <span></span><math>\n <semantics>\n <mrow>\n <mi>α</mi>\n </mrow>\n <annotation> $\\alpha $</annotation>\n </semantics></math> values, the players make conservative decisions compared to higher <span></span><math>\n <semantics>\n <mrow>\n <mi>α</mi>\n </mrow>\n <annotation> $\\alpha $</annotation>\n </semantics></math> values regardless of the effect of the framing function. For high <span></span><math>\n <semantics>\n <mrow>\n <mi>α</mi>\n </mrow>\n <annotation> $\\alpha $</annotation>\n </semantics></math> values the players are more certain in their decisions than the EUT players.</p>","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12102","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/wss2.12102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, the problem of attack mitigation in an intelligent transportation network or vehicular network is considered as a game. The player’s perception of uncertainty and decision making is studied under a subjective prospect theoretic (PT) model and an objective expected utility theory (EUT) model. A game where each player chooses one of two strategies with certain probabilities is analysed. The case where subjective players bias their choices of the probabilities using the Prelec weighting function w ( . ) $w(.)$ is considered and compared with the EUT based decisions and the effect of the framing effect function ν ( . ) $\nu (.)$ and w ( . ) $w(.)$ . The corresponding Nash equilibria (NE) are derived and found through the replicator dynamic equation. Under the Prelec function, the results agree with the previously published results that the defender is biased more into defending the more important road side units. However, under both the w ( . ) $w(.)$ function and the framing effect, the players' behaviour does not depend on the loss penalty parameter, and the Prelec function dominates the framing effect. For small α $\alpha $ values, the players make conservative decisions compared to higher α $\alpha $ values regardless of the effect of the framing function. For high α $\alpha $ values the players are more certain in their decisions than the EUT players.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
期刊最新文献
Adaptive power management for multiaccess edge computing-based 6G-inspired massive Internet of Things Neural network models for predicting vascular age from PPG signals: A comparative study A cyber–physical system prospect theoretic game through a VANET lens Implementation and evaluation of digital twin framework for Internet of Things based healthcare systems Intrusion detection in cluster-based wireless sensor networks: Current issues, opportunities and future research directions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1