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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)
Kelly, S.D.T., Suryadevara, N.K., Mukhopadhyay, S.C.: Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sens. J. 13(10), 3846–3853 (2013)
Lazarescu, M.T.: Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J. Emerg. Sel. Top. Circuits Syst. 3(1), 45–54 (2013)
Datta, S.K., Bonnet, C., Nikaein, N.: An IoT gateway centric architecture to provide novel M2M services. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 514–519, Mar 2014. IEEE (2014)
Leminen, S., Westerlund, M., Rajahonka, M., Siuruainen, R.: Towards IoT ecosystems and business models. In: Internet of Things, Smart Spaces, and Next Generation Networking, pp. 15–26. Springer, Berlin, Heidelberg (2012)
Larson, D., Chang, V.: A review and future direction of agile, business intelligence, analytics and data science. Int. J. Inf. Manage. 36(5), 700–710 (2016)
Bertino, E., Islam, N.: Botnets and internet of things security. Computer 50(2), 76–79 (2017)
Vidalis, S., Angelopoulou, O.: Assessing identity theft in the Internet of Things. J. IT Gov. Pract. (2014)
Zargar, S.T., Joshi, J., Tipper, D.: A survey of defense mechanisms against distributed denial of service (DDoS) flooding attacks. IEEE Commun. Surv. Tutor. 15(4), 2046–2206 (2013)
Zhao, K., Ge, L.: A survey on the internet of things security. In: 2013 9th International Conference on Computational Intelligence and Security (CIS), pp. 663–667, Dec 2013. IEEE (2013)
Davenport, T.H.: Business intelligence and organizational decisions. In: Organizational Applications of Business Intelligence Management: Emerging Trends (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kagita, M.K. (2020). Security and Privacy Issues for Business Intelligence in IoT. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-12385-7_70
Download citation
DOI: https://doi.org/10.1007/978-3-030-12385-7_70
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12384-0
Online ISBN: 978-3-030-12385-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)