MQTT protocol employing IOT based home safety system with ABE encryption

Gupta, Vatsal; Khera, Sonam; Turk, Neelam

doi:10.1007/s11042-020-09750-4

Cited by 37 publications

(14 citation statements)

References 6 publications

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“…In terms of messaging protocols, most of the IoT devices deploy the Message Queuing Telemetry Transport protocol (MQTT). This type of protocol is designed especially for IoT devices, taking into account the constraints these devices encounter, such as low bandwidth, which considerably complicates the adoption of HTTP protocol [26]. Unlike HTTP, MQTT represents lightweight protocols, cutting down the volume of messages and benefiting from its minimal requirements on the availability of connection.…”

Section: Mqtt Protocolmentioning

confidence: 99%

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems

Al-Rakhami

Al‐Mashari

2022

IEEE Access

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The current value of the world food system amounts to roughly $8 trillion, which represents approximately 10% of the global economies. Therefore, the quality of food and food products concerns not only all the end consumers but also millions of employees and entrepreneurs within the global food industry. Achieving the best possible quality of food throughout all the engaged processes requires constantly tracing and monitoring several crucial environmental conditions that may have a significant impact on the products' quality. The Industrial Internet of Things (IIoT) is a system of dedicated sensors paired with the Internet that can overcome and prevent issues within the food industry. The interconnected elements bear the responsibility for monitoring, evaluating, and tracking the conditions where the food products undergo processing, and it checks the products' quality throughout their life cycle. Nevertheless, even IIoT has its challenges. The first such challenge relates to the storage and accessibility of the obtained data. What can make the data readily available to all individuals and entities involved in the industry? The second significant challenge relates to tracing items that pass through numerous processes involving different parties. This work proposed ProChain, a Provenance-aware Traceability Framework for IoT-based Supply Chain Systems. A proposed comprehensive framework of all the information acquired by the sensors and the complete set of provenance data addressed these challenges. Additionally, a thorough simulation of the proposed framework on the Raspberry PI 3B IoT device reviewed the ProChain efficiency in the cloud and local simulation environments. ProChain demonstrated tractability, transparency, and complex security as examples of the principal attributes of the IOTA 2.0 protocol in the food industry.

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Section: Mqtt Protocolmentioning

confidence: 99%

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems

Al-Rakhami

Al‐Mashari

2022

IEEE Access

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“…The attribute-based encryption (ABE) is an encryption technique widely used to ensure data security in IoV and IoT [29][30][31][32][33][34][35][36][37][38][39]. In order to provide cryptographic access control mechanism, ABE holds access control policies in the users' keys using a key-policy attribute-based encryption (KP-ABE) scheme or in the cipher-texts using a ciphertext-policy attribute-based encryption (CP-ABE) scheme [44].…”

Section: Attribute-based Encryptionmentioning

confidence: 99%

Named data networking architecture for internet of vehicles in the era of 5G

Kaci

Rachedi²

2021

Ann. Telecommun.

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Things are interconnected using information and communication technologies in smart cities, forming Internet of Things (IoT). The Internet of Vehicles (IoV) refers to an IoT application, where the urban vehicle fleet forms a worldwide network, using V2X (Vehicle-to-Everything) communications. The 5G is the new generation of cellular networks that will eliminate the bounds of bandwidth, performance, and latency limitations. IoV is one of the high-priority application domains for 5G. Among the under development IEEE Standard regarding 5G, the IEEE P1931.1 standard (named also Real-time Onsite Operations Facilitation (ROOF) Standard) seems to be very promising for IoV requirements. This paper proposes ROOFbased Named Data Vehicular Networking (RND − V n ), a named data networking (NDN) architecture for IoV. In addition to the proposal, we provide SeCrND n (Searchable Encryption for Content Retrieval in NDN), a searchable encryption technique for NDN content retrieval. Furthermore, we propose the intelligent Named Data Caching (iNDC), a machinelearning-based data caching technique for ROOF-based named data networking. The iNDC predicts the number of content requests, such that popular contents are kept as long as possible on roadside units. The proposed iNDC is also used to predict the storage capacity required by each roadside unit. A performance study was conducted to evaluate the performance of machine learning algorithms applied to iNDC. The results show that linear and ridge regressions are the most efficient in terms of content popularity prediction. To predict the capacity of new roadside units, iNDC provides better accuracy using k-Nearest Neighbors.

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“…In recent decades, many IoT applications have used MQTT brokers such as [6][7][8][9][10][11]. The typical structure of an IoT application using MQTT brokers deployed with remote centralized data centers (as in a Cloud environment) is depicted in Figure 1.…”

Section: Mqttmentioning

confidence: 99%

Elasticity for MQTT Brokers in IoT Applications

Pham

2021

MIC ICT Research Journal

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Many domains of human life are more and moreimpacted by applications of the Internet of Things (i.e., IoT).The embedded devices produce masses of data day after dayrequiring a strong network infrastructure. The inclusion ofmessaging protocols like MQTT is important to ensure as fewerrors as possible in sending millions of IoT messages. Thisprotocol is a great component of the IoT universe due to itslightweight design and low power consumption. DistributedMQTT systems are typically needed in actual applicationenvironments because centralized MQTT methods cannotaccommodate a massive volume of data. Although beingscalable decentralized MQTT systems, they are not suited totraffic workload variability. IoT service providers may incurexpense because the computing resources are overestimated.This points to the need for a new approach to adapt workloadfluctuation. Through proposing a modular MQTT framework,this article provides such an elasticity approach. In order toguarantee elasticity of MQTT server cluster while maintainingintact IoT implementation, the MQTT framework used offthe-shelf components. The elasticity feature of our frameworkis verified by various experiments.

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MQTT protocol employing IOT based home safety system with ABE encryption

Cited by 37 publications

References 6 publications

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems

ProChain: Provenance-Aware Traceability Framework for IoT-Based Supply Chain Systems

Named data networking architecture for internet of vehicles in the era of 5G

Elasticity for MQTT Brokers in IoT Applications

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