Abstract
The paper presents the Scalable Modular Hadoop Encryption Framework (SMEH). High performance and low overhead encryption mechanisms are introduced to realise secure operations on sensitive data. The framework uses MapReduce to scale up the processing of linear encryption algorithms to the performance levels of distributed and parallel algorithms. Proposed distributed and modular approach to plugin not only optimally process a large amount of data but also solve the hurdle of memory management. In addition, the modular approach also allows for the algorithm and its implementation to be tuned according to the user’s tolerances.
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References
D. Das, O. O’Malley, S. Radia, K. Zhang, Adding Security to Apache Hadoop in Hortanworks
S. Park, Y. Lee, Secure Hadoop with Encrypted HDFS (Springer, Berlin, 2013)
J. Dean, S. Ghemawat, Map reduce: simplified data processing on large cluster, in OSDI (2004)
T. Kevin, T. Smith, Big Data Security: The Evolution of Hadoops Security Model Posted (2013)
M. Satyanarayanan, Integrating security in a large distributed sytem. ACM Trans. Comput. Syst. (1989)
H. Lin, S. Seh, W. Tzeng, B.P. Lin, Toward data confidentiality via integrating hybrid encryptionschemes and HDFS, in 26th IEEE International Conference on Advanced Information Networking and Applications (2012)
P.P. Sharma, C.P. Navdeti, Securing big data hadoop: a review of security issues, threats and solution? (IJCSIT) Int. J. Comput. Sci. Inf. Technol. 5(2) (2014)
K. Aoki, T. Ichikawa, M. Kanda, M. Matsui, S. Moriai, J. Nakajima, T. Tokita, Camaellia: a 128-bit block cipher suitable for multiple platforms design and analysis, in Proceedings of SAC 2000 (Springer, Berlin, 2000), pp. 39–56
J. Cohen, S. Acharya, Towards a trusted hadoop storage platform, in IEEE 10th International Conference on Ubiquitous Intelligence and Computing (2013)
S. Sharma, Rise of big data and related issues, in Proceedings of the 2015 Annual IEEE India Conference (INDICON) (Delhi, India, 2015), pp. 1–6
R. Bobba, H. Khurana, M. Prabhakaran, Attribute-sets: a practically motivated enhancement to attribute-based encryption, in Proceedings ESORICS (Saint Malo, France, 2009)
J. Li, N. Li, W.H. Winsborough, Automated trust negotiation using cryptographic credentials, in Proceedings ACM Conference (CCS) (Alexandria, VA, 2005)
O. O’Malley, K. Zhang, S. Radia, R. Marti, Hadoop Security Design, TR (2009)
P. Priya, Sharma, Chandrakant P. Navdeti Securing Big Data Hadoop: A Review of Security Issues, Threats and Solution?(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014
B. Thuraisingham, Big data security and privacy, in Procedings of the 5th ACM Conference on Data and Application Security and Privacy (San Antonio, TX, USA, 2015), pp. 279–280
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Verma, P., Walia, G.S., Sharma, K. (2020). Highly Scalable Block Cipher Encryption in MapReduce-Based Distribution System. In: Dutta, M., Krishna, C., Kumar, R., Kalra, M. (eds) Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India. Lecture Notes in Networks and Systems, vol 116. Springer, Singapore. https://doi.org/10.1007/978-981-15-3020-3_3
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DOI: https://doi.org/10.1007/978-981-15-3020-3_3
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