INFORMATION SECURITY CHALLENGES IN BIG DATA: CRITICAL REVIEWING STUDY

Abstract

Big data has revolutionized knowledge production as it represents a very large amount of data that exceeds the ability of traditional computing devices to process it. Indeed, the past few decades have witnessed the emergence of new methods of producing, storing and analyzing data to process their huge amount, culminating in the emergence of the field of data science, which combines computational, algorithmic, statistical and mathematical techniques to extrapolate knowledge from big data [1]. The open data movement has also encouraged the sharing of heterogeneous search data and linking it across large digital infrastructures. The paper aimed at shedding light on the challenges facing big data, especially the information security challenge, to try to identify the challenges and solutions that contribute to reducing challenges.
In fact, the lack of independent and detailed studies of these challenges that focus on practical solutions was the motive for conducting this paper. It aims at identifying and collecting the intellectual production, specifying the deficiencies, and looking out for future studies issues bearing in mind the importance of information security and its impact on the continuity and development of technology and facilitating the preservation, sharing and extraction of knowledge.