Enhancing Banking Transaction Security with Fractal-Based Image Steganography Using Fibonacci Sequences and Discrete Wavelet Transform

被引：0
作者：
Tabirca, Alina Iuliana [1 ]
Dumitrescu, Catalin [2 ,3 ]
Radu, Valentin [1 ]
机构：
[1] Valahia Univ Targoviste, Fac Econ, Targoviste 130004, Romania
[2] Natl Univ Sci & Technol Politehn Bucharest, Fac Elect Telecommun & Informat Technol, Bucharest 060042, Romania
[3] Athenaeum Univ Bucharest, Fac Econ, Bucharest 020223, Romania
来源：
FRACTAL AND FRACTIONAL | 2025年 / 9卷 / 02期
关键词：
steganography; digital media; Fibonacci sequences; fractal; image encryption; discrete wavelet transform;
D O I：
10.3390/fractalfract9020095
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The growing reliance on digital banking and financial transactions has brought significant security challenges, including data breaches and unauthorized access. This paper proposes a robust method for enhancing the security of banking and financial transactions. In this context, steganography-hiding information within digital media-is valuable for improving data protection. This approach combines biometric authentication, using face and voice recognition, with image steganography to secure communication channels. A novel application of Fibonacci sequences is introduced within a direct-sequence spread-spectrum (DSSS) system for encryption, along with a discrete wavelet transform (DWT) for embedding data. The secret message, encrypted through Fibonacci sequences, is concealed within an image and tested for effectiveness using the Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The experimental results demonstrate that the proposed method achieves a high PSNR, particularly for grayscale images, enhancing the robustness of security measures in mobile and online banking environments.
引用
收藏
页数：25
相关论文
共 37 条
  • [11] Subhedar M.S., Mankar V.H., Image steganography using redundant discrete wavelet transform and QR factorization, Comput. Electr. Eng, 54, pp. 406-422, (2016)
  • [12] Abuali M.S., Rashidi C.B.M., Raof R.A.A., Azir K.N.F.K., Hussein S.S., Abd-Alhasan A.Q., Enhancing Security with Multi-level Steganography: A Dynamic Least Significant Bit and Wavelet-Based Approach, Math. Model. Eng. Probl, 11, pp. 1403-1416, (2024)
  • [13] Rocha A., Scheirer W., Boult T., Goldenstein S., Vision of the unseen: Current trends and challenges in digital image and video forensics, ACM Comput. Surv. (CSUR), 43, (2011)
  • [14] Balasamy K., Suganyadevi S., A fuzzy based ROI selection for encryption and watermarking in medical image using DWT and SVD, Multimed. Tools Appl, 80, pp. 7167-7186, (2020)
  • [15] Wang X., Liu J., Chang C., Chie C., Reversible Data Hiding in Encrypted 3D Mesh Models Based on Multigroup Partition and Closest Pair Prediction, Future Internet, 16, (2024)
  • [16] Rhayma H., Ejbali R., Hamam H., Auto-authentication watermarking scheme based on CNN and perceptual hash function in the wavelet domain, Multimed. Tools Appl, 83, pp. 60079-60101, (2024)
  • [17] Agrawal P.S., Khurshid A.A., Robust Watermarking and Image Enhancement Technique Using Classification in Machine Learning, Nanotechnol. Percept, 20, pp. 882-892, (2024)
  • [18] Ashima A., Jotin R., Imad R., MIWET: Medical image watermarking using encryption and fusion technique, Comput. Electr. Eng, 115, (2024)
  • [19] Alher Z.A., Al Imran B.M., Al Ali I., LSB as a Steganography Tool in Information Security, Proceedings of the 5th International Conference on Communication Engineering and Computer Science (CIC-COCOS’24), pp. 348-355
  • [20] Ali M.Z., Riaz O., Hasnain H.M., Sharif W., Ali T., Choi G.S., Elevating Image Steganography: A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities, Comput. Mater. Contin, 79, pp. 2923-2943, (2024)
1234