Smart Door Locking System Using IoT—A Security for Railway Engine Pilots

计算机科学 计算机安全 安全系统 物联网 嵌入式系统
作者
K. Sujatha,N. P. G. Bhavani,U. Jayalatsumi,T. Kavitha,B. Latha,A. Ganesan,A. Kalaivani
出处
期刊:Advances in intelligent systems and computing [Springer Nature]
卷期号:: 263-271 被引量:3
标识
DOI:10.1007/978-981-19-5443-6_20
摘要

Many IoT devices are connected together via gateways in smart door locking systems for railway locomotives. The importance of gateways in smart systems cannot be emphasized, yet due to their centralized structure, they are vulnerable to a variety of security concerns, including integrity, certification, and availability. In this article, a blockchain based smart door locking system for railway engine with gateway network to address these security vulnerabilities is discussed. This smart door integrated with the network, guards against the gateway attacks from misuse by terrorists to operate and collapse railway engine without proper authentication. Sensors and actuators are connected and communicated in a dispersed manner in the smart door lock setup for railway engines with limited resources. Because the information is sensitive, one of the issues in this area is data storage and transfer. The fingerprint images are processed using boundary detection algorithms and artificial neural networks (ANN) for feature extraction. With cloud computing technologies, the retrieved feature data may be evaluated and monitored in real time. Identity is one of the thread models for railway engines’ IoT-based smart door locking systems. Finally, this paper highlights block chain technology, which has the ability to solve IoT application security issues by utilizing fingerprint recognition for authentication. This system can also be extended for development as a smartphone app. The network using Ethereum blockchain technology is used and was tested for industry standards and security, in terms of response time and accuracy. The proposed system can offer a safe and secure locking of the smart door in railway engines to prevent accidents. Some possible solutions were also suggested to tackle the security and privacy problems in IoT based on block chain to illustrate how block chain helps to IoT.

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
Ice完成签到 ,获得积分10
1秒前
nczpf2010发布了新的文献求助10
2秒前
大方怀亦完成签到,获得积分10
4秒前
5秒前
bambambi完成签到,获得积分20
7秒前
k237完成签到,获得积分10
8秒前
刘述发布了新的文献求助10
8秒前
桐桐应助旧巷听风采纳,获得10
12秒前
积心上岸完成签到,获得积分10
13秒前
13秒前
15秒前
HE完成签到,获得积分10
15秒前
molihuakai应助闪闪的屁股采纳,获得10
15秒前
suzy发布了新的文献求助10
17秒前
嘿嘿应助HE采纳,获得10
18秒前
18秒前
18秒前
很久很久完成签到,获得积分10
18秒前
天天快乐应助Radiance采纳,获得10
19秒前
桐桐应助热情的黑猫采纳,获得10
19秒前
20秒前
zhao完成签到,获得积分20
20秒前
20秒前
Doc_d完成签到,获得积分10
22秒前
12332145678发布了新的文献求助10
22秒前
ffchen111完成签到 ,获得积分0
23秒前
闪闪的屁股完成签到,获得积分10
24秒前
机灵凝阳发布了新的文献求助10
24秒前
26秒前
26秒前
ding应助zhao采纳,获得10
27秒前
27秒前
molihuakai应助路咕咕嗼采纳,获得10
28秒前
29秒前
邵简完成签到 ,获得积分10
29秒前
科研通AI6.2应助李书荣采纳,获得10
30秒前
科研通AI6.3应助dalin采纳,获得10
30秒前
熊大农场完成签到 ,获得积分10
31秒前
32秒前
32秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7570042
求助须知:如何正确求助?哪些是违规求助? 9150109
关于积分的说明 19569257
捐赠科研通 7155687
什么是DOI,文献DOI怎么找? 3263810
关于科研通互助平台的介绍 2429260
邀请新用户注册赠送积分活动 2253842