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1. In addition, the protocol field indicates the upper layers, e.g., UDP, TCP, ESP security, AH security, etc. However, more institutions (e.g. Now think of all the big data security issues that could generate! The proposed architecture supports security features that are inherited from the GMPLS/MPLS architecture, which are presented below: Traffic Separation. GMPLS/MPLS are not intended to support encryption and authentication techniques as this can downgrade the performance of the network. In Scopus it is regarded as No. Transferring big data from one node to another based on short path labels rather than long network addresses to avoid complex lookups in a routing table. By 2020, 50 billion devices are expected to be connected to the Internet. At this stage, the traffic structure (i.e., structured or unstructured) and type (i.e., security services applied or required, or no security) should be identified. However, in times of a pandemic the use of location data provided by telecom operators and/or technology However, the traditional methods do not comply with big data security requirements where tremendous data sets are used. Many open research problems are available in big data and good solutions also been proposed by the researchers even though there is a need for development of many new techniques and algorithms for big data analysis in order to get optimal solutions. Therefore, with security in mind, big data handling for encrypted content is not a simple task and thus requires different treatment. Here, our big data expertscover the most vicious securitychallenges that big data has in stock: 1. 32. Security Journal brings new perspective to the theory and practice of security management, with evaluations of the latest innovations in security technology, and insight on new practices and initiatives. 31. Analyzing and processing big data at Networks Gateways that help in load distribution of big data traffic and improve the performance of big data analysis and processing procedures. Although there remains much to do in the field of big data security, research in this area is moving forward, both from a scientific and commercial point of view. Data Source and Destination (DSD): data source as well as destination may initially help to guess the structure type of the incoming data. This Cloud Security Alliance (CSA) document lists out, in detail, the best practices that should be followed by big data service providers to fortify Moreover, it also can be noticed that processing time increases as the traffic size increases; however, the increase ratio is much lower in the case of labeling compared to that with no labeling. emerges from this incredible escalation in the literature have big data security journal that reliability availability. 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