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article Open Access

Significant Security Challenges in IOT Analytics

Abstract

The Internet of Things (IoT) is a community of bodily devices, vehicles, domestic appliances, and other items embedded with sensors, software, and connectivity that enable them to connect and exchange data with other devices and systems over the Internet. The IoT has been growing in importance in various industries, including healthcare, manufacturing, transportation, and agriculture, among others. Data analytics, or truly IoT analytics, is the act of studying statistics generated and collected from IoT devices by utilizing a specific set of data analytics tools and techniques. The actual concept in the back of IoT Data analytics is to show great portions of unstructured information from diverse gadgets and sensors within the Internet of Things ecosystem, which is heterogeneous, into valuable and actionable insights for driving sound business decision-making and further data analysis. Furthermore, IoT analytics enable identifying the patterns in data sets, including both current states And ancient data, that could be utilized to make predictions and modifications approximately destiny events. By analyzing this data, businesses can gain valuable insights that can help them improve operational efficiency, reduce costs, and enhance the customer experience. With the increasing adoption of IoT devices across various industries, The amount of data generated is growing exponentially. Data analytics can help organizations to unlock this value and make data-driven decisions that can have a significant impact on their business. It is crucial for related gadgets to paintings collectively for maximum IoT use cases, however this technique raises security issues. The universal safety profile is most effective as powerful because the weakest device. If the security is on a specific vendor’s outdoor sensor is weak and the sensor is connected to other devices, the likelihood of indirect critical impact is high. Attackers can compromise the sensor, modify its data, or exploit the connection to other devices to cause damage.

Blockchain Technology Applications and SecurityIoT and Edge/Fog ComputingInternet of Things and AIAnalyticsComputer scienceData scienceData analysisBusiness analyticsBig dataInternet of ThingsPredictive analyticsComputer securityBusiness model
Citations
0
FWCI
0.00
field-weighted impact
References
12
Percentile
3%
vs. same field & year
References
Internet of Things in Industries: A Survey
IEEE Transactions on Industrial Informatics · 2014 · 4,980 citations
A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective
IEEE Internet of Things Journal · 2014 · 1,186 citations
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