The method selectively encodes information using privacy classification methods under timing constraints. Moreover, moving big data within different clouds that have different levels of sensitivity might expose important data to threats. Now think of all the big data security issues that could generate! The COVID-19 pandemic leads governments around the world to resort to tracking technology and other data-driven tools in order to monitor and curb the spread of SARS-CoV-2. We are committed to sharing findings related to COVID-19 as quickly as possible. Among the topics covered are new security management techniques, as well as news, analysis and advice regarding current research. In the following subsections, the details of the proposed approach to handle big data security are discussed. The security industry and research institute are paying more attention to the emerging security challenges in big data environment. CiteScore: 7.2 ℹ CiteScore: 2019: 7.2 CiteScore measures the average citations received per peer-reviewed document published in this title. The GMPLS/MPLS network is terminated by complex provider Edge routers called here in this work Gateways. Kim, and T.-M. Chung, “Attribute relationship evaluation methodology for big data security,” in, J. Zhao, L. Wang, J. Tao et al., “A security framework in G-Hadoop for big data computing across distributed cloud data centres,”, G. Lafuente, “The big data security challenge,”, K. Gai, M. Qiu, and H. Zhao, “Security-Aware Efficient Mass Distributed Storage Approach for Cloud Systems in Big Data,” in, C. Liu, C. Yang, X. Zhang, and J. Chen, “External integrity verification for outsourced big data in cloud and IoT: a big picture,”, A. Claudia and T. Blanke, “The (Big) Data-security assemblage: Knowledge and critique,”, V. Chang and M. Ramachandran, “Towards Achieving Data Security with the Cloud Computing Adoption Framework,”, Z. Xu, Y. Liu, L. Mei, C. Hu, and L. Chen, “Semantic based representing and organizing surveillance big data using video structural description technology,”, D. Puthal, S. Nepal, R. Ranjan, and J. Chen, “A Dynamic Key Length Based Approach for Real-Time Security Verification of Big Sensing Data Stream,” in, Y. Li, K. Gai, Z. Ming, H. Zhao, and M. Qiu, “Intercrossed access controls for secure financial services on multimedia big data in cloud systems,”, K. Gai, M. Qiu, H. Zhao, and J. Xiong, “Privacy-Aware Adaptive Data Encryption Strategy of Big Data in Cloud Computing,” in, V. Chang, Y.-H. Kuo, and M. Ramachandran, “Cloud computing adoption framework: A security framework for business clouds,”, H. Liang and K. Gai, “Internet-Based Anti-Counterfeiting Pattern with Using Big Data in China,”, Z. Yan, W. Ding, X. Yu, H. Zhu, and R. H. Deng, “Deduplication on Encrypted Big Data in Cloud,” in, A. Gholami and E. Laure, “Big Data Security and Privacy Issues in the Coud,”, Y. Li, K. Gai, L. Qiu, M. Qiu, and H. Zhao, “Intelligent cryptography approach for secure distributed big data storage in cloud computing,”, A. Narayanan, J. Huey, and E. W. Felten, “A Precautionary Approach to Big Data Privacy,” in, S. Kang, B. Veeravalli, and K. M. M. Aung, “A Security-Aware Data Placement Mechanism for Big Data Cloud Storage Systems,” in, J. Domingo-Ferrer and J. Soria-Comas, “Anonymization in the Time of Big Data,” in, Y.-S. Jeong and S.-S. Shin, “An efficient authentication scheme to protect user privacy in seamless big data services,”, R. F. Babiceanu and R. Seker, “Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook,”, Z. Xu, Z. Wu, Z. Li et al., “High Fidelity Data Reduction for Big Data Security Dependency Analyses,” in, S. Alouneh, S. Abed, M. Kharbutli, and B. J. Mohd, “MPLS technology in wireless networks,”, S. Alouneh, A. Agarwal, and A. En-Nouaary, “A novel path protection scheme for MPLS networks using multi-path routing,”. Just Accepted. While opportunities exist with Big Data, the data can overwhelm traditional The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Our proposed method has more success time compared to those when no labeling is used. The type of traffic used in the simulation is files logs. The MPLS header and labeling distribution protocols make the classification of big data at processing node(s) more efficient with regard to performance, design, and implementation. 51 Aradau, C and Blanke, T, “ The (Big) Data-security assemblage: Knowledge and critique ” (2015) 2 (2) Security Dialogue. Many recovery techniques in the literature have shown that reliability and availability can greatly be improved using GMPLS/MPLS core networks [26]. 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