Security and privacy issues for business intelligence in IoT

Mohan Krishna Kagita

Research output: Book chapter/Published conference paperChapter

Abstract

IoT is a revolution in the business sector and adoption of IoT devices in the business organization leads to the success management of business data along with the success of the organization. Implementation of IoT in the business organization helps in building an Enterprise Competitive advantages and increases the efficiency of operational activities. Big data and cloud computing has provided a significant impact on improving the business intelligence by analyzing, identifying and discovering the business-related data. Data is biggest asset of every business organization and proper data maintenance is the major concern for every organization. Internet of Things (IoT) is using in every sector of business for efficient utilization of data and the organization expected to have enriched data from the use of IoT devices. The security issues of IoT are a biggest concern in managing and maintaining business data. Business intelligence is maintained dependent on the historical and present data in order to estimate and perform calculation on future data. Due to security issues of IoT the organizational data can be in danger due to potential threats, loss of data and data manipulation. Business intelligence mainly depends on the plugins which needs internet connectivity. Attacker can perform on the browser of the system and destroy the plugins associated with it, if browser is not protected from antivirus and firewalls. Lack in security features of the device will allows attackers to trace the details of the system and perform attack by manipulating or stealing the data. These types of attacks are intentionally performed to exploit the business data of the organization by hampering the business intelligence.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer
Pages1038-1049
Number of pages12
DOIs
Publication statusPublished - 01 Jan 2020
Externally publishedYes

Publication series

NameLecture Notes in Networks and Systems
Volume70
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

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