Abstract
In the era of the Cloud, a remote user connected from anywhere, anytime is provided with any form of access to the storage services. Internet of things is growing rapidly in all aspects and Cloud storage has become an essential aspect in the day to day life. Data Science and Big data analytics, and other technologies use the smart devices like personal Laptop, tablet and smartphone and enterprises are interested to store data and the transactions in Cloud data centres. However, cloud storage needs a secured transaction and authentication system. Cloud service providers need to provide high security at their storage level. Our approach combines Blowfish algorithm and Pattern matching to secure the data in cloud data storage. Pattern matching algorithm is the best algorithm in terms of time complexity and space complexity. Blowfish algorithm is a 16-round Fiestal algorithm, which is used to encrypt and decrypt the input files. This paper evaluates the hybrid Pat-Fish algorithm with DES, RSA, and Blowfish methods on text files. The standard evaluation parameters namely encryption time and decryption time are taken for performance comparison. This Pat-Fish approach yields less time for encryption and decryption compared to DES, RSA and Blowfish algorithms. This method is suitable for cloud storage to store the client data with security.
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References
Mohammad A (2014) Cloud of things: integrating internet of things with cloud computing and the issues involved. In: Proceedings of 11th IEEE international Bhurban conference on applied sciences and technology IBCAST, pp 14–18
Christos S (2016) Secure integration of IoT and cloud computing. Future Generation Comput Syst 78:964–975
Priyadarshini P (2016) A comprehensive evaluation of cryptographic algorithms: DES, 3DES, AES, RSA and Blowfish. In: International conference on information security & privacy—Elsevier Procedia computer science, vol 78, pp 617–624
Kavitha P (2016) Anomaly based intrusion detection in WLAN using discrimination algorithm combined with naïve Bayesian classifier. J Theor App Info Technol 62(1, 3):646–653
Usha M (2017) Anomaly based intrusion detection for 802.11 networks with optimal features using SVM classifier. Wireless Netw 23(8):2431–2446
Abdel-Karim Al Tamimi (2008) Performance analysis of data encryption algorithms, available at https://www.cse.wustl.edu/~jain/cse567-06/ftp/encryption_perf/
Prabhu A (2018) A Survey on the pattern matching algorithms in cloud computing. In: National conference on emerging trends in signal and image processing, communication, VLSI design and nano technology (NCSICVN-18), pp 38–43
Hussain I (2013) Improved approach for exact pattern matching (Bidirectional exact pattern matching). IJCSI Int J Comput Sci Iss 10(3):59–65
Schneier B (1993) Description of a new variable-length key, 64-Bit block cipher (Blowfish). In: Fast software encryption, cambridge security workshop proceedings, Springer, pp 191–204
Data Encryption Standard (1999) Federal Information Processing Standards Publication No. 46, National Bureau of Standards
Rivest RL (1978) A method for obtaining digital signatures and public-key cryptosystems. Commun ACM 21(2):120–126
Sanchez-Avila C (2001) The Rijndael block cipher (AES proposal): a comparison with DES, Security Technology, In: 2001 IEEE 35th international carnahan conference on. IEEE, pp 229–234
Bijoy K (2013) Designing and performance analysis of a proposed symmetric cryptography algorithm. In: International conference on communication systems and network technologies-ieee computer society, pp 453–446
Prabhu A (2015) Nondeterministic finite automata to reduce the time complexity in cloud virtualization. Int J Appl Eng Res 10(37):28021–28025
Prabhu, A A Secured best data centre selection in cloud computing using encryption techniques. Int J Business Intell Data Mining (Accepted for publication). https://doi.org/10.1504/ijbidm.2018.10007299
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Usha, M., Prabhu, A. (2019). Performance Analysis of Encryption Algorithms with Pat-Fish for Cloud Storage Security. In: Kim, K., Kim, H. (eds) Mobile and Wireless Technology 2018. ICMWT 2018. Lecture Notes in Electrical Engineering, vol 513. Springer, Singapore. https://doi.org/10.1007/978-981-13-1059-1_11
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DOI: https://doi.org/10.1007/978-981-13-1059-1_11
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