Visible to the public LSB Steganography Using Pixel Locator Sequence with AES

TitleLSB Steganography Using Pixel Locator Sequence with AES
Publication TypeConference Paper
Year of Publication2021
AuthorsTiwari, Krishnakant, Gangurde, Sahil J.
Conference Name2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC)
KeywordsAES, composability, cryptography, encoding, Encryption, Heuristic algorithms, Image coding, image processing, Information hiding, Measurement, Metrics, privacy, pubcrawl, Robustness, steganography, steganography detection, Tools
AbstractImage steganography is a technique of hiding confidential data in the images. We do this by incorporating the LSB(Least Significant Bit) of the image pixels. LSB steganography has been there for a while, and much progress has been made in it. In this paper, we try to increase the security of the LSB steganography process by incorporating a random data distribution method which we call pixel locator sequence (PLS). This method scatters the data to be infused into the image by randomly picking up the pixels and changing their LSB value accordingly. This random distribution makes it difficult for unknowns to look for the data. This PLS file is also encrypted using AES and is key for the data encryption/decryption process between the two parties. This technique is not very space-efficient and involves sending meta-data (PLS), but that trade-off was necessary for the additional security. We evaluated the proposed approach using two criteria: change in image dynamics and robustness against steganalysis attacks. To assess change in image dynamics, we measured the MSE and PSNR values. To find the robustness of the proposed method, we used the tool StegExpose which uses the stego image produced from the proposed algorithm and analyzes them using the major steganalysis attacks such as Primary Sets, Chi-Square, Sample Pairs, and RS Analysis. Finally, we show that this method has good security metrics for best known LSB steganography detection tools and techniques.
DOI10.1109/ICSCCC51823.2021.9478162
Citation Keytiwari_lsb_2021