Joint Security and Resilience Control in IIoT-Based Virtual Control Train Sets Under Jamming Attacks

弹性(材料科学) 无线 干扰 火车 计算机网络 网络数据包 工程类 计算机科学 控制(管理) 电信 地图学 热力学 物理 人工智能 地理
作者
Shuomei Ma,Hongwei Wang,Li Zhu,Qihe Zhang
出处
期刊:IEEE Transactions on Vehicular Technology [Institute of Electrical and Electronics Engineers]
卷期号:72 (9): 11196-11212 被引量:3
标识
DOI:10.1109/tvt.2023.3266561
摘要

The virtually coupled train sets (VCTS) have been proposed to improve transportation efficiency, passenger satisfaction and operational capability for communication-based train control (CBTC) systems. Reliable and real-time trainto-train (T2T) wireless communications are quite desirable to ensure the stability of VCTS. Moreover, with the development of industrial Internet of Things (IIoT), an IIoT-based VCTS is proposed. Due to the physically exposed wireless environment, T2T wireless communications are vulnerable to jamming attacks (JAs), causing packets loss, time delay, and interference with the operation of VCTS systems. The distance between adjacent trains in the IIoT-based VCTS would be violate the minimum relative braking distance regulated by the traditional moving block (MB) principle if JAs were not mitigated. This is a severe safety events, which is intolerable for train control systems. In this study, we develop an event-triggered control (ETC) based resilience control method to mitigate the impact of JAs on the IIoT-based VCTS. A cooperative control approach, stable IIoT-based VCTS range and T2T communication cycle are jointly designed in the ETC-based model. The resilience control approach enables the communication cycle to be adjusted by sacrificing part of the system performance to ensure the safety and stability of VCTS systems when JAs occurs. Extensive simulation results demonstrate that the proposed ETC-based resilience control model can successfully defend against jamming attacks, and the transportation efficiency in urban rail transits can be significantly improved even under JAs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
Air云完成签到,获得积分10
5秒前
6秒前
小小完成签到,获得积分10
6秒前
7秒前
无足鸟完成签到,获得积分10
7秒前
8秒前
kwen完成签到 ,获得积分10
9秒前
racill发布了新的文献求助20
10秒前
11秒前
zs发布了新的文献求助10
12秒前
怡然冷安完成签到,获得积分10
14秒前
斯文败类应助萤火虫采纳,获得10
20秒前
无奈的豆沙包完成签到 ,获得积分10
21秒前
科研通AI2S应助qfby采纳,获得10
24秒前
SeliqAq完成签到,获得积分10
24秒前
邓德亨卓汲完成签到,获得积分10
25秒前
He发布了新的文献求助10
26秒前
26秒前
zs完成签到,获得积分10
27秒前
今后应助wdb采纳,获得10
28秒前
研友_O8W2PZ发布了新的文献求助10
29秒前
31秒前
Hello应助hulala采纳,获得10
34秒前
Bottle完成签到,获得积分10
35秒前
zzh发布了新的文献求助10
35秒前
七一安发布了新的文献求助10
37秒前
zho驳回了Ava应助
38秒前
44秒前
45秒前
47秒前
天地一体完成签到,获得积分10
48秒前
乐乐完成签到,获得积分10
49秒前
50秒前
Wang0102发布了新的文献求助10
50秒前
sun发布了新的文献求助10
50秒前
慕青应助淡墨采纳,获得10
51秒前
仲夏夜之梦完成签到,获得积分10
52秒前
刘丰发布了新的文献求助10
52秒前
53秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Mixing the elements of mass customisation 360
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3781847
求助须知:如何正确求助?哪些是违规求助? 3327435
关于积分的说明 10231205
捐赠科研通 3042315
什么是DOI,文献DOI怎么找? 1669967
邀请新用户注册赠送积分活动 799434
科研通“疑难数据库(出版商)”最低求助积分说明 758808