Are Biometrics the Key to Data Security?

MARK EARLEY

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Are Biometrics the Key to Data Security?

机译：生物识别技术是数据安全的关键吗？

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摘要

Picture this: You stroll into your local coffee chain and a device scans your facial features to instantly signal the barista to begin making the double espresso you preselected online. You quickly settle up with the cashier by placing a thumbprint on a device at the counter.

机译：想象一下：您走进当地的咖啡连锁店，并且设备扫描您的面部特征以立即向咖啡师发出信号，以开始制作您在线上预先选择的双浓缩咖啡。您可以通过在柜台上的设备上放置一个指纹来迅速与收银员安顿下来。

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《EContent》 |2006年第7期|p.38-42|共5页
作者
MARK EARLEY;
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正文语种 eng
中图分类计算技术、计算机技术;
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1. Applicability of keystroke dynamics as a biometric security feature for mobile touchscreen devices with virtualised keyboards [J] . Christian Praher, Michael Sonntag International journal of information and computer security . 2016,第1期

机译：击键动态作为具有虚拟键盘的移动触摸屏设备的生物特征安全功能的适用性
2. FFBKS: Fuzzy Fingerprint Biometric Key Based Security Schema for Wireless Sensor Networks [J] . Nivedetha B., Vennila Ila. Computer Communications . 2020,第Jana期

机译：FFBKS：无线传感器网络的基于模糊指纹生物识别基于关键的安全模式
3. A new biometrics-based key establishment protocol in WBAN: energy efficiency and security robustness analysis [J] . Amal Sammoud, Mohamed Aymen Chalouf, Omessaad Hamdi, Computers & Security . 2020,第Sepa期

机译：WBAN中基于新的基于生物识别的主要建立协议：能源效率和安全鲁棒性分析
4. Biometric based key-generation system for multimedia data security [C] . Indu Verma, Sanjay Jain 2016 3rd International Conference on Computing for Sustainable Global Development . 2016

机译：基于生物特征的密钥生成系统，用于多媒体数据安全
5. Strategies for managing missing and incomplete information with applications to keystroke biometric data and a business analytical application [D] . Ritzmann, Mark 2010

机译：使用击键生物识别数据的应用程序和业务分析应用程序管理丢失和不完整信息的策略
6. Security Enhanced Anonymous Multiserver Authenticated Key Agreement Scheme Using Smart Cards and Biometrics [O] . Younsung Choi, Junghyun Nam, Donghoon Lee, -1

机译：使用智能卡和生物识别技术的安全性增强的匿名多服务器身份验证密钥协商方案
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Are Biometrics the Key to Data Security?

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