Grey-Level Text Encryption Using Chaotic Maps and Arnold Transform

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.