Setting: Enormous Information Network safety Investigation is progressively turning into a significant area of exploration and practice pointed toward safeguarding organizations, PCs, and information from unapproved access by breaking down security occasion information utilizing huge information devices and advancements. While a plenty of Huge Information Network protection Scientific Frameworks have been accounted for in the writing, there is an absence of a precise and complete survey of the writing according to a design viewpoint. Objective: This paper reports a precise survey pointed toward recognizing the most often revealed quality credits and design strategies for Large Information Network safety Logical Frameworks. Strategy: We utilized Orderly Writing Survey (SLR) technique for evaluating 74 essential examinations chose utilizing distinct rules. Results: Our discoveries are twofold: (I) recognizable proof of 12 most often detailed quality credits and the support for their importance for Enormous Information Online protection Scientific Frameworks; and (ii) ID and codification of 17 structural strategies for tending to the quality ascribes that are usually connected with Large Information Network safety Logical frameworks. The distinguished strategies incorporate six execution strategies, four exactness strategies, two versatility strategies, three dependability strategies, and one security and ease of use strategy each. End: Our discoveries have uncovered that (a) in spite of the meaning of interoperability, modifiability, versatility, over-simplification, secrecy, and protection affirmation, these quality credits need unequivocal structural help in the writing (b) observational examination is expected to assess the effect of systematized compositional strategies (c) a fair plan of exploration exertion ought to be contributed to investigate the compromises and conditions among the recognized strategies (d) there is a general absence of successful coordinated effort among the scholarly world and industry for supporting the field of Large Information Network safety Scientific Frameworks and (e) more exploration is expected on the near investigation among huge information handling structures (i.e., Hadoop, Flash, and Tempest) when utilized for Large Information Network protection Logical Frameworks.