Image Steganography: Hiding Secrets in Random LSB Pixels

Kaur, Dilpreet; Verma, Harsh Kumar; Singh, Ravindra Kumar

doi:10.1007/978-981-15-0751-9_31

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…To further enhance the protection level of secret information, a set of techniques were proposed, hiding variable number secret information bits in the LSBs cover images. This idea was initially used in [23] for information hiding using random LSB of the cover image for hiding the secret message. A set of new techniques were presented in [24][25][26] to hide variable amounts of secret data in the LSBs of the cover medium pixels.…”

Section: Related Workmentioning

confidence: 99%

A Modulo Function-Based Robust Asymmetric Variable Data Hiding Using DCT

Khan

Arif

et al. 2020

Symmetry

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This work presents a new asymmetric data hiding technique that hides a variable number of secret message bits in the discrete cosine transform (DCT) coefficients of a cover image using a modular distance technique. Prior to data hiding, the proposed framework transforms a cover image from a spatial domain to various frequency coefficients using DCT. The DCT coefficients are arranged in two groups: one with low-frequency coefficient, and the other with the medium and high-frequency coefficients. The medium and higher frequency coefficients are processed for variable data hiding asymmetrically. The proposed technique hides variable sets of secret information bits in different coefficients. The variation in hidden secret information is maintained using a key developed based on the modulo of distance of a coefficient from the reference point. The same key is also used to retrieve the confidential information at the receiver ends. The results reveal that the presented framework does not create any visually significant distortion, and thus the hidden information does not attract the human visual system (HVS). The technique also results in high data hiding efficiency.

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Section: Related Workmentioning

confidence: 99%

A Modulo Function-Based Robust Asymmetric Variable Data Hiding Using DCT

Khan

Arif

et al. 2020

Symmetry

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“…In such a case if an intruder got suspicious about the presence of information, it is difficult to recover the information. Using this idea, the data hiding in random LSB was used in [5]. Sahib et al devised a variable least significant bits (VLSB) steganography technique.…”

Section: Introductionmentioning

confidence: 99%

ACO Based Variable Least Significant Bits Data Hiding in Edges Using IDIBS Algorithm

et al. 2020

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This work presents a double asymmetric data hiding technique. The first asymmetry is created by hiding secret data in the complex region of the cover image and keep the smooth region unaffected. Then another asymmetry is developed by hiding a different number of secret bits in the various pixels of the complex region. The proposed technique uses the ant colony optimization (ACO) based technique for the classification of complex and smooth region pixels. Then, the variable least significant bits (VLSB) data hiding framework is used to hide secret bits in the complex region of the cover image. A distance-based substitution technique, namely increasing distance increasing bits substitution algorithm, is used to ensure the asymmetry in the number of hidden bits. The double asymmetric framework enhances the security of the hidden secret data and makes the retrieval of hidden information difficult for unauthorized users. The algorithm results in high-quality stego images, and the hidden information does not attract the human visual system (HVS).

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