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Gautam Siwach engaged at Tackling the challenges of Big Data by MIT Computer Science and Artificial Intelligence Laboratory and Amir Esmailpour at the UNH Research Group investigated the key features of big data as the formation of clusters and their interconnections. They focused on the security of big data and the orientation of the term ...
Big data is an emerging ... categorizes the security challenges of Big Data Ecosystems into four groups; infrastructure security, data privacy, data management, and ...
Data-centric security is an approach to security that emphasizes the dependability of the data itself rather than the security of networks, servers, or applications.Data-centric security is evolving rapidly as enterprises increasingly rely on digital information to run their business and big data projects become mainstream.
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Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through various unique perspectives and taking a critical approach that this form of study can be practiced. [1]
Software-based security solutions encrypt the data to protect it from theft. However, a malicious program or a hacker could corrupt the data to make it unrecoverable, making the system unusable. Hardware-based security solutions prevent read and write access to data, which provides very strong protection against tampering and unauthorized access.
Security concerns must be addressed to maintain trust in cloud computing technology. [52] Data breach is one of the big concerns in cloud computing. A compromised server could significantly harm the users as well as cloud providers. A variety of information could be stolen.
Data center security is the set of policies, precautions and practices adopted at a data center to avoid unauthorized access and manipulation of its resources. [1] The data center houses the enterprise applications and data, hence why providing a proper security system is critical.
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