A Review Paper Based on Image Security Using Watermarking

Shankar, Vasuki; Prasad, R. U. S. D. Vara; Adiraju, Rama Vasantha; Krishna, R. V. V.; Nandan, Durgesh

doi:10.1007/978-981-15-7234-0_66

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adding or changing the pixel value of the embedding path of the video frame is the process of embedding a watermark in the spatial field. The benefits of spatial domain watermarking include simplicity, reduced processing time, and low computational complexity [22]. Some of the methodologies that use spatial domain watermarking are: The first is the Least Significant Bit (LSB) approach, which involves embedding the watermark within the least significant bits of the original video.…”

Section: Video Watermarksmentioning

confidence: 99%

Improve a secure blind watermarking technique for digital video

Al-Kadei¹,

Hasan²

2022

PEN

View full text Add to dashboard Cite

In recent years, digital watermark video has become increasingly popular in a range of industries, but because it is widely available on the Internet, it is simple to make unlawful copies and tamper with digital video. Watermarking digital video has become more popular as a method of detecting changes and preventing illegal duplication. This paper presents a video copyright protection system that is secure, blind, and robust. Two approaches that are resistant to diverse attacks are proposed in this research. The initial step is to encrypt a hybrid watermark (Message, Image) using two different encryption techniques (RSA and AES). The second is a steganography technique based on LSB-based robust watermarking, which embeds an encrypted secret bit Message and Image in key frames of an MP4 video file by utilizing the mean of the grayscale images that differ and take the most significant differences between the two images. The intensity of the histogram will become more consistent across all pixels as the encryption quality improves. For keyframe watermarking in the spatial domain, the proposed methods can maintain the watermarked information while achieving high imperceptibility and a Peak Single to Noise Ratio [PSNR] equivalent to more than 50 db, where quality measures (MSE, PSNR, and correlation coefficient) that calculate the levels of distortion caused by embedding a watermark in digital video produce good results.

show abstract

Section: Video Watermarksmentioning

confidence: 99%

Improve a secure blind watermarking technique for digital video

Al-Kadei¹,

Hasan²

2022

PEN

View full text Add to dashboard Cite

show abstract

“…The advantages of spatial domain watermarking are simple, less computational time, and low computational complexity [22]. It is not robust against popular image processing operations [23], A portion of the strategies which utilize spatial domain watermarking are [24]:…”

Section: Spatial Domainmentioning

confidence: 99%

Survey of Recent Video Watermarking Techniques

Hummad¹,

Hassan²

2021

ETJ

View full text Add to dashboard Cite

With the development of the Internet coupled with expanding the accessibility of multimedia, various copyright issues have resulted. Several researchers have been working on watermarks to provide the security, durability, and a perception of multimedia. This paper a review of some recent works is presented related to video watermarking techniques, this study focuses on the pros and cons of recent video watermarking, areas of application, and the different types and attacks that are standing against these watermarking techniques. The results obtained from this study showed that watermark techniques based on the transfer domain, are more popular than those of the spatial domain.

show abstract

“…In trading tool, a clear image is used to apply irregular correction. Pixels and its thickness can be converted into squares in any case [15]. The other option is to map every element in the clear image to digital image with some other trademarks since key methods are being explored.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic Lightweight Cryptography for Security Enhancement inInternet of Things

Ragab¹,

Ashary²

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The advancements made in Internet of Things (IoT) is projected to alter the functioning of healthcare industry in addition to increased penetration of different applications. However, data security and private are challenging tasks to accomplish in IoT and necessary measures to be taken to ensure secure operation. With this background, the current paper proposes a novel lightweight cryptography method for enhance the security in IoT. The proposed encryption algorithm is a blend of Cross Correlation Coefficient (CCC) and Black Widow Optimization (BWO) algorithm. In the presented encryption technique, CCC operation is utilized to optimize the encryption process of cryptography method. The projected encryption algorithm works in line with encryption and decryption processes. Optimal key selection is performed with the help of Artificial Intelligence (AI) tool named BWO algorithm. With the combination of AI technique and CCC operation, optimal security operation is improved in IoT. Using different sets of images collected from databases, the projected technique was validated in MATLAB on the basis of few performance metrics such as encryption time, decryption time, Peak Signal to Noise Ratio (PSNR), CC, Error, encryption time and decryption time. The results were compared with existing methods such as Elliptical Curve cryptography (ECC) and Rivest-Shamir-Adleman (RSA) and the supremacy of the projected method is established.

show abstract

A Review Paper Based on Image Security Using Watermarking

Cited by 5 publications

References 12 publications

Improve a secure blind watermarking technique for digital video

Improve a secure blind watermarking technique for digital video

Survey of Recent Video Watermarking Techniques

Metaheuristic Lightweight Cryptography for Security Enhancement inInternet of Things

Contact Info

Product

Resources

About