Abstract
Data in today’s world is ubiquitous and often regarded more valuable than the paper currency itself. More often than not, sensitive data needs to be transmitted from a sender to a receiver in an encrypted format. This paper proposes a novel secret message transmission method through image encryption. The proposed system highlights four techniques; Bit Plane Splicing (BPS), Arnold Transform, a combination of logistic and tent maps. The original text is obtained after decryption, reinforcing its efficiency, security and reliability of this scheme. The security of this scheme has been rigorously analysed through image metrics like Correlation, Entropy, NPCR and UACI, histogram deviation and are tabulated for reference. The results show good security performance against threats. Chosen plaintext attack has been carried out, on two sets of different plain texts, and the results obtained have been favourable.
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Acknowledgements
The authors wish to express their gratitude to SASTRA Deemed University for providing the infrastructure and access through the Research & Modernization Fund (Ref. No: R&M/0026/SEEE-010/2012–13) to carry out the proposed research work.
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Ravi, V.M., Prasad, N., Lakshmi, C., Rethinam, S., Arumugham, S., Rengarajan, A. (2020). Grey-Level Text Encryption Using Chaotic Maps and Arnold Transform. In: Pati, B., Panigrahi, C., Buyya, R., Li, KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1082. Springer, Singapore. https://doi.org/10.1007/978-981-15-1081-6_42
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DOI: https://doi.org/10.1007/978-981-15-1081-6_42
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