Ensuring security when connecting IIoT systems to the cloud

Xavier Bignalet

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Ensuring security when connecting IIoT systems to the cloud

机译：将IIoT系统连接到云时确保安全性

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The combination of the Just in Time Registration (JITR) from AWS IoT with the ATECC508MAHAW CryptoAuthentication device, and the in-manufacturing secure provisioning process from Microchip, offers best-in-class IoT security. This true end-to-end IoT security solution enables Industry 4.0 security success towards safe and efficient growth.

机译：AWS IoT的即时注册（JITR）与ATECC508MAHAW CryptoAuthentication设备的结合，以及Microchip的生产中安全配置流程的结合，提供了一流的IoT安全性。这款真正的端到端物联网安全解决方案使Industry 4.0安全性成功实现了安全，高效的增长。

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来源
《Electronic Product Design》 |2018年第4期|26-28|共3页
作者
Xavier Bignalet;
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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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1. Algorithm of ensuring confidential data security of the cloud medical information system [J] . L Babenko, A Shumilin, D Alekseev E3S Web of Conferences . 2020,第10期

机译：确保云医学信息系统机密数据安全的算法
2. A pattern-based method for establishing a cloud-specific information security management system: Establishing information security management systems for clouds considering security, privacy, and legal compliance [J] . Kristian Beckers, Isabelle Cote, Stephan Fassbender, Requirements Engineering . 2013,第4期

机译：一种基于模式的方法，用于建立特定于云的信息安全管理系统：考虑安全性，隐私和法律合规性，为云建立信息安全管理系统
3. Advanced Security Model for Ensuring Complete Security in Cloud Architecture [J] . Nikhil Kumar Singh International journal of computational intelligence research . 2017,第5a1a期

机译：用于确保云架构中完整安全性的高级安全模型
4. A Privacy, Security, Safety, Resilience and Reliability Focused Risk Assessment Methodology for IIoT Systems: Steps to Build and Use Secure IIoT Systems [C] . Emilio Tissato Nakamura, Sergio Luis Ribeiro Global Internet of Things Summit . 2018

机译：IIT系统的隐私，安全，安全，恢复力和可靠性风险评估方法：构建和使用安全IIOT系统的步骤
5. Comparison of Cloud Security Standards and Cloud Security Control Recommendation System. [D] . Hendre, Amit. 2014

机译：云安全标准与云安全控制推荐系统的比较。
6. OpenID Connect as a security service in cloud-based medical imaging systems [O] . Weina Ma, Kamran Sartipi, Hassan Sharghigoorabi, 2016

机译：OpenID Connect作为基于云的医学成像系统中的安全服务
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

Ensuring security when connecting IIoT systems to the cloud

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