| Title | Factors Affecting Information Assurance for Big Data |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Utomo, Rio Guntur, Yahya, Farashazillah, Almarshad, Fahdah, Wills, Gary B |
| Conference Name | 2022 1st International Conference on Software Engineering and Information Technology (ICoSEIT) |
| Keywords | Big Data, Collaboration, composability, compositionality, data mining, Government, Human Behavior, human factors, information assurance, Information security, information technology, Metrics, policy-based governance, pubcrawl, resilience, Resiliency, Scalability, security, software engineering, Systematics |
| Abstract | Big Data is a concept used in various sectors today, including the government sector in the Smart Government initiative. With a large amount of structured and unstructured data being managed, information assurance becomes important in adopting Big Data. However, so far, no research has focused on information assurance for Big Data. This paper identified information assurance factors for Big Data. This research used the systematic snapshot mapping approach to examine factors relating to information assurance from the literature related to Big Data from 2011 through 2021. The data extraction process in gathering 15 relevant papers. The findings revealed ten factors influencing the information assurance implementation for Big Data, with the security factor becoming the most concentrated factor with 18 sub-factors. The findings are expected to serve as a foundation for adopting information assurance for Big Data to develop an information assurance framework for Smart Government. |
| DOI | 10.1109/ICoSEIT55604.2022.10030038 |
| Citation Key | utomo_factors_2022 |
Factors Affecting Information Assurance for Big Data