Abstract
Every minute in the internet, enormous volume of data is generating tuning into big data. A new paradigm of data storage and processing is essential. There is extremely no query that Hadoop is an essentially unruly technology. Latest innovation in scalability, appearance, and data dispensation competence has been beating us apiece of few months over the last few years. In this source of ecosystem is the extremely classification of novelty. Big data has distorted data analytics given that extent, presentation, and flexibility that was just not potential a few years ago, at an outlay that was evenly inconceivable. But as Hadoop turn into the new standard of information technology, developers, and security policy are playing grab awake to identify with Hadoop security. Moreover, current security hypothesis and mechanism have been established. In this paper, we discuss lays out a series of recommended security controls for Hadoop along with an access control framework, which enforces access control policies dynamically based on the sensitivity of the data and systemic security, operational security and architecture for data security. A relative study of latest advances in big data for security. A number of prospect information for big data security and privacy methods are discussed.
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Shrihari, M.R., Manjunath, T.N., Archana, R.A., Hegadi, R.S. (2019). Research Challenges in Big Data Security with Hadoop Platform. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_49
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DOI: https://doi.org/10.1007/978-981-13-9187-3_49
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