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
刚刚
标致导师完成签到,获得积分10
1秒前
1秒前
C_发布了新的文献求助10
1秒前
2秒前
Fuyu发布了新的文献求助10
2秒前
2秒前
张奕泽完成签到,获得积分10
3秒前
123jopop完成签到,获得积分10
3秒前
3秒前
never完成签到,获得积分10
5秒前
喜悦的依琴完成签到,获得积分10
5秒前
科研通AI6.2应助CC采纳,获得50
5秒前
6秒前
炙热南露发布了新的文献求助30
6秒前
Jasper应助宋敏美采纳,获得10
7秒前
7秒前
乐观的颦完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
研友_VZG7GZ应助小月亮采纳,获得10
8秒前
8秒前
9秒前
小马甲应助孙雷采纳,获得30
9秒前
10秒前
隐形曼青应助斑马采纳,获得10
10秒前
11秒前
真三完成签到,获得积分10
11秒前
11秒前
顽石发布了新的文献求助10
11秒前
12秒前
12秒前
刚刚好发布了新的文献求助10
13秒前
哈哈哈发布了新的文献求助10
13秒前
下里巴人完成签到,获得积分10
13秒前
xieyin717发布了新的文献求助10
14秒前
万能图书馆应助Misaki采纳,获得10
14秒前
hezi完成签到,获得积分10
14秒前
14秒前
高分求助中
(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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
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 7690150
求助须知:如何正确求助?哪些是违规求助? 9252183
关于积分的说明 19974724
捐赠科研通 7263086
什么是DOI,文献DOI怎么找? 3290486
关于科研通互助平台的介绍 2447164
邀请新用户注册赠送积分活动 2295566