https://doi.org/10.51514/JSTR.5.4.2023.17-25
BT Ramaiah, Rajeev Kumar and Reeta Bharadwaj
ABSTRACT
Information system security is a field that safeguards the availability, confidentiality, and integrity of data and information services through the use of steganography, watermarking, and cryptography. One kind of attack that consistently seeks to breach security is steganalysis. Steganography differs from comparable techniques like cryptography and watermarking mostly due to its final goals. Because steganography attempts to conceal the message’s presence, it might be challenging for an observer to locate the message. This work suggests a novel feature-based steganalysis that makes use of Cuckoo Search optimization and LBP feature extraction. By utilizing Lease Significant Bit (LSB) insertion, an image dataset is produced. On the basis of accuracy, PSNR, MSE, and calculation time, the experimental results of the suggested approach are compared with the current DCT feature extraction and ABC optimization technique. The suggested approach works better than the current procedures, according to the results.
Keywords: Information security, Steganography, Confidentiality, Integrity, Availability, Steganalysis, LBP feature extraction, Cuckoo search, LSB.