DocumentCode :
3575275
Title :
Big Data: A security compliance model
Author :
Gupta, Archana ; Verma, Ajita ; Kalra, Parul ; Kumar, Lokesh
Author_Institution :
Dept. of IT, Amity Univ., Noida, India
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposed a security compliance model that presents security and access control features which are employed at the time of origin of Big Data. The growth rate of data dealing devices and generation of data has increased exponentially which led to the massive explosion of data availability both in structured or unstructured form also known as big data. The challenge is to analyze this unstructured form of data and categories in a momentous form.The tool design to process big data without considering the security and access control feature in mind that its security is not inbuilt in these systems. Moreover, because of the huge size data it becomes a very tedious task to incorporate security feature at a later stage. So the security should be embedded in the initial or design stage.
Keywords :
Big Data; authorisation; security of data; access control features; big data processing tool; data availability; data dealing devices; data generation; security compliance model; security features; Artificial neural networks; Computer hacking; Electromagnetic compatibility; Libraries; Monitoring; Switches; Big Data; Critical user log; Lookup Method; Mapping; Relationship analysis tool; Security Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Business, Industry and Government (CSIBIG), 2014 Conference on
Print_ISBN :
978-1-4799-3063-0
Type :
conf
DOI :
10.1109/CSIBIG.2014.7056963
Filename :
7056963
Link To Document :
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