Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

2nd International Conference on Sustainable Engineering Techniques

工业技术（总论）

Mahdi, Mohammed Hashim^1^4 ; Abdulrazzaq, Ali Abdulwahhab^2 ; Mohd Rahim, Mohd Shafry^1^3 ; Taha, Mustafa Sabah^2^5 ; Khalid, Hiyam Nadhim^6 ; Lafta, Sameer Abdulsattar^1

School of Computing, Facility of Engineering, University Technology Malaysia, Johor Bahru, Malaysia^1

Technical Instructors Training Institute, Middle Technical University, Baghdad, Iraq^2

UTM (IRDA) Digital Media Center, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia^3

Faculty of Engineering, Uruk University, Baghdad, Iraq^4

Basrah Oil Training Institute, Ministry of Oil, Iraq^5

Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia^6

关键词: Image steganography;    Information hiding;    Multilevels;    Pay load capacity;    Random parameters;    Secret messages;    Security;    Security challenges;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/518/5/052002/pdf
DOI  :  10.1088/1757-899X/518/5/052002

学科分类：工业工程学

来源: IOP

【 摘 要 】

Recently, steganography has played an important part in the field of communication, especially in image steganography. The major points of image steganography are the image quality (imperceptibility) of the stego image and the security of the system towards stopping the recoverability of the secret data. A new steganography scheme based on two control random parameters and multi-level encryption can address the security challenge while the P-Even/P-Odd classification can ensure the imperceptibility of the stego image. The objectives of study to increase the security and PSNR of the image by using the Huffman coding technique to compress the secret data prior to embedding; this will also ensure an increase in the payload capacity. The proposed scheme takes effect after encrypting and compressing the secret data. It is deployed when matching the secret bits with the LSB during embedding to determine 0 (P-Even) and 1 (POdd) while classifying the secret message to track and map each bit in the stego image. The results showed the embedding of the secret message based on P-Even/POdd with two control random parameters and multi-level encryption to improve the steganography.