Neuronal crypto system based on chaotic super-increasing sequence
Journal of Discrete Mathematical Sciences and Cryptography, cilt.28, sa.3, ss.733-751, 2025 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 28 Sayı: 3
- Basım Tarihi: 2025
- Doi Numarası: 10.47974/jdmsc-1867
- Dergi Adı: Journal of Discrete Mathematical Sciences and Cryptography
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, zbMATH
- Sayfa Sayıları: ss.733-751
- Anahtar Kelimeler: Cryptography, Knapsack problem, Logistics map, Merkele-hellman Cipher, Neural network
- Kırklareli Üniversitesi Adresli: Evet
Özet
Neural networks were originally developed as an alternative to artificial intelligence to solve problems such as control, shape or word recognition, decision-making, memory, and more. In this work, we propose to assign them to secure images. For this, we use data (which is defined from the logistics map) to generate a super-increasing sequence which can attributed as a weight of the synapses. Also, we have inspired to encrypt the images by the Merkel-Hellman algorithm. The proposed system is called Neuronal Crypto-System which is a secret key system. It takes some steps of encryption and decryption of a specific public key crypto system and crypts a grayscale image to color image (RGB).