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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 12 | Page No.: 3130-3132
DOI: 10.36478/jeasci.2017.3130.3132  
A Study on Diagnosing Security Vulnerability Issues of Big Data and Internet of Things under IT Convergence
Jimoon Chung , Sung Choi , Chang J. Kee , Eunjee Song , Songchul Moon , Junggil Kim and Sichun Noh
 
Abstract: The Internet of Things (IoT) system shows the characteristics of a smart device by mounting various sensors and communication functions to the system. The data generated in the IoT environment is beyond the range of processing within given cost and time. In this study, security vulnerability occurring in the IoT and big data environments is diagnosed. A new security vulnerability may occur in each component in IoT, since a component is connected to security vulnerability. The property of data generated in both the IoT and Big data environments is related to that of big data, so security vulnerability issues in these environments are related those of big data. When these issues are diagnosed based on this relationship, a security measure may be effectively achieved. This study shows the importance of and necessity for security in this new ICT environment and the factors that can lead to security vulnerabilities.
 
How to cite this article:
Jimoon Chung, Sung Choi, Chang J. Kee, Eunjee Song, Songchul Moon, Junggil Kim and Sichun Noh, 2017. A Study on Diagnosing Security Vulnerability Issues of Big Data and Internet of Things under IT Convergence. Journal of Engineering and Applied Sciences, 12: 3130-3132.
DOI: 10.36478/jeasci.2017.3130.3132
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.3130.3132