Experimental Analysis on Big Data in IOT-Based Architecture

Bera, Anupam; Kundu, Anirban; Sarkar, Nivedita Ray De; De, Mou

doi:10.1007/978-981-10-1678-3_1

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…The system offers proper scalability and real time processing of security events. The IoT based model proposed by Bera 144 offers parallel query execution for big IoT data processing and thus reduces time and cost with reduced redundancy. Primary data mining techniques employed in this method is classification and processing.…”

Section: Big Data Mining In 5g‐driven Iot Environmentmentioning

confidence: 99%

Leveraging big data analytics in 5G‐enabled IoT and industrial IoT for the development of sustainable smart cities

Mukherjee

Gupta

Rawlley

et al. 2022

Trans Emerging Tel Tech

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There has been an exponential growth in the number of low‐cost heterogeneous sensor devices that are connected to the internet in the existing infrastructure of smart cities in the past decade. These sensors and actuator devices are employed in various industries to collect invaluable data that greatly impacts business decisions. State‐of‐the‐art research is being carried out to process the high‐volume data collected in high velocity streams with high variability in order to draw meaningful insights to cater to business needs in various domains. Big data analytics finds diversified opportunities in 5G‐enabled Internet of Things (IoT) and industrial IoT environment to study the data patterns and produce new results which provides big organizations a conducive environment to take informed decisions. This article presents an exhaustive investigation of the various applications and algorithms of the big data analytics in 5G‐driven IoT and industrial IoT systems with a detailed taxonomy of the existing analytical systems and also the challenges specific to the applications in an IoT environment. A holistic understanding on the importance of security and privacy of big data during the development of smart city infrastructure in high velocity streaming process has been explained for a broad understanding of the big data streaming processes. A thorough analysis of important data mining algorithms such as classification, association rule mining, clustering, and prediction methods for big IoT data from the recent literature also has been presented to provide a clear understanding of existing issues in handling big data in 5G‐enabled IoT for the development of sustainable smart city infrastructure.

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Section: Big Data Mining In 5g‐driven Iot Environmentmentioning

confidence: 99%

Leveraging big data analytics in 5G‐enabled IoT and industrial IoT for the development of sustainable smart cities

Mukherjee

Gupta

Rawlley

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…There are several aspects of the IoT that present security problems, including IoT device communications, constrained resources (e.g., limited battery life), variety (e.g., different types of devices made by multiple manufacturers), and scale (billions of devices) [41]. Among the plethora of recent research solutions [5,15,24,27,39] for protecting IoT data, some related research (e.g., [15,24,32]) focuses on security and privacy preservation policies while others (e.g., [5,15,27,39]) focus on encryption frameworks for the IoT [28].…”

Section: Overview Of Techniques For Holistic Iot Securitymentioning

confidence: 99%

IoTSec: A Lightweight and Holistic IoT Security Based on IoT Data Contextualisation and Homomorphic Encryption

Yavari

Georgakopolous

2021

Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future

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The Internet of Things incorporates billions of sensors, cameras, RFID and other machines that observe and/or affect the physical world, as well as IoT applications that harvest and analyse IoT data in the cloud, edge computers, and/or the IoT devices themselves. To realise its full potential IoT must ensure the security of the IoT data and related applications that support the IoT-based services and products that are provided to their consumers. Although IoT devices, networks, and computing resources support robust security standards and include related mechanisms that can secure IoT data within the scope of these IoT components, compositions of such point security solutions often fail to ensure the security of IoT data across the IoT ecosystem. In this article we will discuss the main challenges in securing IoT data acquisition, communication, analysis, actuation and illustrate the need for IoT security solutions that are both holistic and lightweight. In addition, we propose a holistic and lightweight IoT security mechanism that via a novel combination of contextualisation with homomorphic encryption prevents harmful outcomes from lack of IoT data security.

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