Abstract
In today’s world of technology, Data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over Internet from different media and applications has greater challenges tasks. Data generation from multimedia and IoT data is the biggest Big Data in Internet now. When sensitive and confidential data are counterfeit by attacks this lead to serious countermeasures to security and privacy. Data Encryption is the mechanism to forestall this issue. At present, many encryption techniques are used for multimedia and IoT but when there is massive data are developed it incur more computational challenge. This paper design and propose new coherent encryption algorithm which holds issue of IoT and multimedia big data. The proposed system can cause a strong cryptographic effect without hold much memory and easy performance analysis. Handling huge data with the help GPU is included in the proposed system to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms like AES, DES, 3-DES, RC6 and MARS based on architecture, flexibility, scalability, security level and also based on computational Running time, Throughput for both encryption and decryption process. Avalanche effect is also calculated for proposed system with 54.2%. The proposed framework holds to secure the multimedia against real-time attacks.
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References
Sejdić, E.: Medicine: adapt current tools for handling big data. Nature 507.7492, 306–306 (2014)
Laney, D.: 3D data management: controlling data volume, velocity and variety. Gartner (2001)
Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Evans, D.: The internet of things: how the next evolution of the internet is changing everything. CISCO. Int. J. Internet 3(2), 123–132 (2011)
Puthal, D., et al.: A dynamic prime number based efficient security mechanism for big sensing data streams. J. Comput. Syst. Sci. 83(1), 22–42 (2017)
Wang, Z. et al.: ABE with improved auxiliary input for big data security. J. Comput. Syst. Sci. (2016)
Sookhak, M. et al.: Dynamic remote data auditing for securing big data storage in cloud computing. Inf. Sci. 380, 101–116 (2017)
Xin, M.: A mixed encryption algorithm used in internet of things security transmission system. In: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE (2015)
Prasetyo, K.N., Purwanto, Y., Darlis, D.: An implementation of data encryption for Internet of Things using blowfish algorithm on FPGA. In: 2014 2nd International Conference on Information and Communication Technology (ICoICT). IEEE (2014)
Suresh, Manju, Neema, M.: Hardware implementation of blowfish algorithm for the secure data transmission in internet of things. Procedia Technol. 25, 248–255 (2016)
Wang, Z. et al.: Design and optimization of hybrid MD5-blowfish encryption on GPUs. In: Proceedings of 2011 International Conference on Parallel and Distributed Processing Techniques and Applications (2011)
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Stephen Dass, A., Prabhu, J. (2019). Comparative Analysis of a Systematic Coherent Encryption Scheme for Large-Scale Data Management Using Cryptographic Encryption Technique. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-13-1927-3_46
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DOI: https://doi.org/10.1007/978-981-13-1927-3_46
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