Anonymous Lightweight Chaotic Map-Based Authenticated Key Agreement Protocol for Industrial Internet of Things

2020 ◽  
Vol 17 (6) ◽  
pp. 1133-1146 ◽  
Author(s):  
Jangirala Srinivas ◽  
Ashok Kumar Das ◽  
Mohammad Wazid ◽  
Neeraj Kumar
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Yuting Li ◽  
Qingfeng Cheng ◽  
Wenbo Shi

Internet of Things brings convenience to the social life, at the same time, putting forward higher requirements for the security of data transmission and storage. Security incidents based on industrial Internet of Things have occurred frequently recently, which should be given full consideration. The identity-based authenticated key agreement protocol can solve these security threats to a certain extent. Recently, a lightweight identity-based authenticated key agreement protocol for Industrial Internet of Things, called ID-2PAKA protocol, was claimed to achieve secure authentication and meet security properties. In this paper, we show that the ID-2PAKA protocol is insecure in identity authentication and cannot resisting ephemeral key compromise impersonation attack.


2018 ◽  
Vol 14 (1) ◽  
pp. 155014771875479 ◽  
Author(s):  
Min Wei ◽  
Shuaidong Zhang ◽  
Ping Wang ◽  
Keecheon Kim

As an industrial communication data interaction specification, OPC Unified Architecture effectively solves the industrial Internet of Things system integration problem. This article designs an authentication and key agreement scheme based on implicit certificate using the security model provided by OPC Unified Architecture. It establishes the secure channel and provides a guarantee for secure session for the OPC Unified Architecture server and client. Then, the test verification platform is implemented to verify the feasibility of the scheme. The result shows that the mechanism is feasible, and the system security and availability are effectively improved.


2020 ◽  
Author(s):  
Karthik Muthineni

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.


Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage


2014 ◽  
Vol 36 (10) ◽  
pp. 2156-2167
Author(s):  
Qiang LI ◽  
Deng-Guo FENG ◽  
Li-Wu ZHANG ◽  
Zhi-Gang GAO

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