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Designing and Implementing Cloud Security Using Multi-layer DNA Cryptography in Python

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Trends in Wireless Communication and Information Security

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 740))

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Abstract

Cloud computing is the latest technology. Provides various on-demand services and online for network services, platform services, data storage, etc. Many organizations are not thrilled with using cloud services due to data security concerns, as the data resides on the cloud service provider's servers. To address this problem, various researchers around the world have applied various approaches to strengthen the security of data stored in cloud computing. The latest development in the field of cryptography is DNA encryption. It arose after the disclosure of the computational ability of deoxyribonucleic acid (DNA). DNA encryption uses DNA as a computational tool along with various molecular techniques to manipulate it. Due to the large storage capacity of DNA, this field is becoming very promising. This paper used a layered DNA encryption method for the data encryption and decryption process. Using the four DNA bases (A, C, G, T), we generate dynamic DNA tables to replace the message characters with a dynamic DNA sequence. The implementation of the proposed approach is performed in Python and the experimental results are verified. The resulting encrypted text contains information that will provide greater security against intruder attacks.

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Correspondence to Md. Irfan Alam .

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Irfan Alam, M., Singh, S.N. (2021). Designing and Implementing Cloud Security Using Multi-layer DNA Cryptography in Python. In: Chakraborty, M., Jha, R.K., Balas, V.E., Sur, S.N., Kandar, D. (eds) Trends in Wireless Communication and Information Security. Lecture Notes in Electrical Engineering, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_38

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  • DOI: https://doi.org/10.1007/978-981-33-6393-9_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6392-2

  • Online ISBN: 978-981-33-6393-9

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