Abstract
Security of gargantuan sized data has always posed as a challenging issue. This domain has witnessed a number of approaches being introduced to counter such issues. This paper first reviews approaches for investigation of mining algorithms in cryptography domain and sheds light on application of mining techniques and machine learning algorithms in cryptography. The paper presents key computation using parameters-only scheme for automatic variable key (AVK) based symmetric key cryptosystem. A cryptanalysis based on association rule mining for key and parameter prediction has been discussed using both analytical method and WEKA tool. The paper also presents some research questions regarding the design issues associated with the implementation of parameter based symmetric Automatic Variable Key (AVK) based cryptosystem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tan, P.-N., Steinbach, M., Kumar, V.: Introduction to data mining. Pearson education, p. 14 (2008)
Saxena, G., Karnik, H., Agrawal, M.: Classification of Ciphers using Machine learning. IIT (2008)
Rivest, R.L.: Cryptography and machine learning. In: Matsumoto, T., Imai, H., Rivest, R.L. (eds.) ASIACRYPT 1991. LNCS, vol. 739, pp. 427–439. Springer, Heidelberg (1993)
Dunham, H.: Data Mining: Introductory and Advanced Topics. Pearson education (2008)
Anoop, J.: Classification among DES, AES, and IDEA Ciphers. IIT Kanpur (2003)
Rao, B.M.: Classification of RSA and IDEA Ciphers. IIT Kanpur (2003)
Chandra, G.: Classification of Modern Ciphers. IIT Kanpur (2002)
Pooja, M.: The Classification of Ciphers. IIT Kanpur (2000)
Chakrabarti, P., Choudhary, A., Naik, N., Bhunia, C.: Key Generation in the Light of Mining and Fuzzy Rule. IJCSNS 8, 332–337 (2008)
Prajapat, S., Jain, A., Thakur, R.S.: A Novel Approach For Information Security With Automatic Variable Key Using Fibonacci Q-Matrix. IJCCT 3(3), 54–57 (2012)
Prajapat, S, Thakur, R.S.: Time variant approach towards symmetric key. In: SAI 2013. IEEE, pp. 398–405 (2013)
Prajapat, S., Thakur, R.S.: Sparse approach for realizing AVK for Symmetric Key Encryption. IJRDET & proceeding of International Research Conference on Engineering, Science and Management (IRCESM 2014) 2, 15–18 (2014)
Goswami, R., Chakrabarti, S., Bhunia, A., Bhunia, C.: Generation of automatic variable key under various approaches in cryptographic system. Journal of The Institution of Engineers (India): Series B 94(4), 215–220 (2013)
Prajapat, S., Thakur, R.S.: Association rules for parameter prediction of AVK. In: proceedings of International Conference on Intelligent, Computational and Informative Systems (ICICIS-2014) and published in International Journal of Electronics Communication and Computer Engineering, October 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Prajapat, S., Thakur, R.S. (2015). Cryptic-Mining: Association Rules Extractions Using Session Log. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9158. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_53
Download citation
DOI: https://doi.org/10.1007/978-3-319-21410-8_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21409-2
Online ISBN: 978-3-319-21410-8
eBook Packages: Computer ScienceComputer Science (R0)