Steganogram removal using multidirectional diffusion in fourier domain while preserving perceptual image quality

Geetha, S.; Subburam, S.; Selvakumar, S.; Kadry, Seifedine; Damaševičius, Robertas

doi:10.1016/j.patrec.2021.04.026

Cited by 34 publications

(6 citation statements)

References 17 publications

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“…Different steganographic methods provide different degrees of robustness of stego objects and resistance to image sterilization processes. Some sterilization techniques are presented in [22][23][24]. As the MDD method belongs to the category of LSB steganography (in spatial domain), it is not resistant to different types of attacks or the sterilization of the stego object.…”

Section: Average Values (mentioning

confidence: 99%

Steganographic Method in Selected Areas of the Stego-Carrier in the Spatial Domain

Milosav¹,

Milosavljević

Banjac³

2023

Symmetry

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The main goal of this paper is the proposal of a key-based steganographic system in which the ratio of capacity and image quality metrics that represents the stego object while reducing the detectability of hidden content was improved. The main contribution of the proposed steganographic system is a new algorithm for selecting stego areas. The area selection algorithm is based on clustering the pixels of the cover object into a predetermined number of clusters. The goal of this selection of areas (clusters) is to group as many homogeneous parts of the image as possible in order to cover these areas with as few rectangular shapes as possible. Since the data on the defined rectangles represent the key of the system, the capacity of the additional secret channel is minimized in this way. On the obtained stego-carriers, an embedding of test random content is performed in order to estimate its detectability. By combining the proposed area selection method with the Minimal Decimal Difference steganographic method, a system was created with an optimal trade-off between detectability of secret content, quality and capacity of the carrier, and the length of the stego-key. Finally, a comparison of the obtained results with relevant adaptive steganographic methods is presented. The proposed concept obtains its verification in one practical system for secure file transfer of controlled cryptographic strength.

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Section: Average Values (mentioning

confidence: 99%

Steganographic Method in Selected Areas of the Stego-Carrier in the Spatial Domain

Milosav¹,

Milosavljević

Banjac³

2023

Symmetry

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“…This study looks at how the internet of things (IoT) can be used to improve waste collection systems. It contrasts a standard periodic review technique with an IoT-enabled strategy in which we assume garbage bins are equipped with smart sensors that provide continuous monitoring of the bin's status [4] [11]. A simulation model is developed that is based on two modules: the waste generation and the waste management.…”

Section: Literature Surveymentioning

confidence: 99%

A Zigbee Garbage Bin Monitoring system with IoT

Preetha,

et al. 2023

E3S Web Conf.

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One of the critical responsibilities in ensuring a clean and pollution-free society is maintaining garbage disposal. Damage to the environment and human health results from improper garbage maintenance and disposal. However, it can be seen that garbage bins in several places including cities are left to overflow on streets. With the development of IoT, this scenario can be improved by providing screening of the status of trash bins. A Bin Level Monitoring Unit (BLMU) consists of the end sensor with the bin. The filled status of the garbage bin is detected and sent to a Wireless Access Point Unit (WAPU). The ZIGBEE devices are used to communicate each local device to a master IoT device which is placed in each area. This helps connect multiple devices to connect to a network and access the IoT module. The bin is accessed by the public and municipality by their RFID tags. There is an automatic locking system in case of the bin is full or is detected with poisonous gas. The bin can then be opened only by the municipality with their tag.

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“…It was recommended by Rarhi et al [24] that the picture encryption be carried out with the help of the Blowfish Algorithm because it possesses superior execution and delivery time. The images were hidden using the Least Significant Bit (LSB) approach [12], which was applied by the method. A hybrid strategy, which uses a mixture of picture encryption, image encryption + image concealing, is still recommended for providing a substantial level of protection.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Using the results of D ij , color bands (RGB) with pixel values and infrared light are preserved in a distinct manner. In the end, it can be summed up as follows in Equation (12).…”

Section: Mod( )mentioning

confidence: 99%

Security in Medical Image Management Using Ant Colony Optimization

Karthikeyini¹,

Sagayaraj²,

Rajkumar

et al. 2023

ITC

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Data encryption before transmission is still a crucial step in lowering security concerns in cloud-based environments. Steganography and image encryption methods validate the security of confidential data while it is being transmitted over the Internet. The paper presents the Ant Colony Optimization with Encryption Curve cryptography-based steganography technique to enhance the security of medical image management (ACO-ECC-SMIM). The initial stage is to create the stego images for the used cover image, the ACO algorithm-based image steganography technique is used. The creation of the encryption process is a key focus of the suggested ACO-ECC-SMIM strategy. The encryption process is initially carried out using an ECC technique, or elliptic curve cryptography. To maximize PSNR, the ACO technique is employed to optimize the crucial production process in the ECC model. The host image is subjected to an integer wavelet transform, and the coefficients have been altered. To determine the ideal coefficients where to conceal the data, the ACO optimization technique is utilized. The decryption and sharing reconstruction procedures are then carried out on the receiver side to create the original images. In image 1, the ACO-ECC-SMIM model showed an improved PSNR of 59.37dB. Image 5 has an improved PSNR of 59.53dB thanks to the ACO-ECC-SMIM model. A large-scale experimental investigation was conducted to show the improved performance of the proposed PIOE-SMIM method, and the findings demonstrated the superiority of the ACO-ECC-SMIM model over other approaches.

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Steganogram removal using multidirectional diffusion in fourier domain while preserving perceptual image quality

Cited by 34 publications

References 17 publications

Steganographic Method in Selected Areas of the Stego-Carrier in the Spatial Domain

Steganographic Method in Selected Areas of the Stego-Carrier in the Spatial Domain

A Zigbee Garbage Bin Monitoring system with IoT

Security in Medical Image Management Using Ant Colony Optimization

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