Modified Hardware Security Algorithms for Process Industries Using Internet of Things

Prasath, J.S.; Ramachandraiah, Uppu; Muthukumaran, G.

doi:10.1080/19361610.2020.1736458

Cited by 12 publications

(3 citation statements)

References 13 publications

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“…In particular, vector q plays the role of a key that is shared among the legitimate agents. Notably, such a vector could be provided as a hardware key (e.g., see [41]) before the agents are deployed or selected during a secure initialization phase and securely shared (e.g., see [42], [43]). For instance, in the case of networks of mobile agents, one could have the vector q selected when the agents are in a "safe zone", and then they use it after they are deployed in an "unsafe zone" (e.g., see [44], [45], where robots are initially in close spatial proximity and subsequently start exploring an environment).…”

Section: Proposed Approachmentioning

confidence: 99%

Exploiting the Synchronization of Nonlinear Dynamics to Secure Distributed Consensus

Fioravanti

Bonagura

Oliva

et al. 2023

IEEE Open J. Control. Syst.

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Distributed cooperative multi-agent operations, which are emerging as effective solutions in countless application domains, are prone to eavesdropping by malicious entities due to their exposure on the network. Moreover, in several cases, agents are reluctant to disclose their initial conditions (even to legitimate neighbors) due to their sensitivity to private data. Providing security guarantees against external readings by malicious entities and the privacy of exchanged data while allowing agents to reach an agreement on some shared variables is an essential feature to foster the adoption of distributed protocols. In this article, we propose to implement a secure and privacy-preserving consensus strategy that exploits, for this purpose, the performance of synchronization of nonlinear continuous-time dynamical systems. This is achieved by splitting the initial conditions into two information fragments, one of which is subject to nonlinear manipulation. In this way, the information being exchanged in the network will always be subject to the influence of nonlinear dynamics. However, by exploiting the ability of such dynamics to synchronize, the combination of the two fragments still converges to a weighted average of each node's actual initial conditions. Furthermore, due to the dependence of the hidden dynamics on a coordinate transformation known only to the legitimate nodes, message security is ensured even once consensus is reached; our approach relies on the assumption that a secure communication channel is available during an initialization phase. The article is complemented by a simulation campaign aimed at numerically demonstrating the effectiveness of the proposed approach.

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Section: Proposed Approachmentioning

confidence: 99%

Exploiting the Synchronization of Nonlinear Dynamics to Secure Distributed Consensus

Fioravanti

Bonagura

Oliva

et al. 2023

IEEE Open J. Control. Syst.

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show abstract

“…The literature review of the paper that were referenced and those that serves the base paper and supporting paper which provides the clear idea of the traffic monitoring system and machine learning algorithms and proper method of recommendations. [1][2][3] Due to the swift enlargement of automotive transportation and urbanization, traffic jam has been enlarging and becomes a significant problem in most major cities worldwide. Then, an algorithm is presented to spot congested road segments and construct congestion propagation graphs to model congestion propagation in urban road networks [4,5].…”

Section: Literature Surveymentioning

confidence: 99%

Traffic Monitoring System Using IoT and DL

Jayakumar¹,

K²,

K³

et al. 2021

Advances in Parallel Computing Technologies and Applications

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In Metropolitan cities, where the amount of automobile continuously expands faster than the obtainable traffic framework to support them, congestion may be a strenuous issue to affect and it becomes much worse in case of car accidents. This problem affects many aspects of contemporary society, health damages, traffic accidents, duration spent, grow in greenhouse emissions and including economic expansion. In this context, current societies can rely on the traffic management system to diminish traffic congestion and its negative chattels. In this project, we propose a traffic management system where the traffic will be monitored with all the automobiles on the road. We will track the number of automobiles entering the signal zone and will predict the traffic is high or low. Hang on the quantity of automobiles in each signal zone, the traffic signals can be automated. So that maximum amount of duration is given to more automobiles whereas the lesser duration for some automobiles. Thus this project aims at reducing the traffic and managing the signals automatically leading to the sensor less traffic management system.

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“…This project is meant to offer a major parameter to diagnose the disease. The Internet of Things (IoT) is rapidly growing attention not only in certain fields but much more, especially in personalized healthcare [1][2][3][4][5]. Medical scientists and researchers, work hard within the field of innovation and research for many decades to urge better health services and happiness in human lives [6,7].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Health Monitoring System

Jayakumar¹,

Ranjith²,

Tejswini³

et al. 2021

Advances in Parallel Computing Technologies and Applications

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Normally, a health issue or an emergency needs to viewed in a multidisciplinary approach. And, thus a standard sensor-based diagnosis in the medical field, requires a greater number of sensors and human efforts if it’s processed on a large scale. To overcome this issue an IoT-based health care application is proposed in this research work. The proposed system consists of an online mobile application that supports continuous wireless monitoring of patients. The Main aim of the paper is to implement a low-cost system and send the patient vital parameters in case of emergency situations. Sensors such as ECG Monitor sensor, Heart Rate sensor, and temperature sensor are used to quantify the patient vital signs. The sensor data are collected and transferred to the cloud for storage of the IoT platform via a module which is connected to the micro controller. The information is processed within the cloud and the appropriate feedback steps are taken on the analyzed data which may be further analyzed by a doctor remotely in person. Remote viewing reduces the burden to doctors and also provides the precise health status of patients. If the patient needs urgent attention, then a message alerts is sent to the care taker or doctor. This kind of mechanism helps in taking precautions beforehand and also helps the doctor to analyze the patient in a better way. The setup is verified using simulation and various test experiments.

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Modified Hardware Security Algorithms for Process Industries Using Internet of Things

Cited by 12 publications

References 13 publications

Exploiting the Synchronization of Nonlinear Dynamics to Secure Distributed Consensus

Exploiting the Synchronization of Nonlinear Dynamics to Secure Distributed Consensus

Traffic Monitoring System Using IoT and DL

IoT Based Health Monitoring System

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