Preferred Language
Articles
/
ijs-6140
Video Steganography Method Based DWT

The video steganography is a technique to hide information inside video file.Whereas video Steganography is a very important task in real life where the users want to keep data, so the steganography process used for the secure data transmission from the sender to receiver through the internet. Least significant bit (LSB) insertion technique operates on LSB bit of the media file to hide the information bit. In this paper steganography technique used to hide the information inside compressed video as development of a standard method in order to benefit from the advantages of the compression process, which added to the video, these features are reduce storage size of video, and reduce bandwidth to transfer data in faster way with save time that requires transferring video during the network. The video compressed by using discrete wavelet transform DWT because it an efficient method that can be used to perform an efficient compression technique. The video contains number of frames played over a period of time. By using the proposed method can hide information in any number of these frames for various video sizes and in specific location of the pixels. And has been verified from performance of proposed method by retrieval original information without any lost, and by using several quality measures performance to measure the results of proposed method found it's a good, acceptable compare with results of other methods used in more researches.

View Publication Preview PDF
Quick Preview PDF
Publication Date
Mon Jan 01 2018
Journal Name
International Journal Of Electronic Security And Digital Forensics
Scopus (5)
Scopus Crossref
View Publication
Publication Date
Mon Nov 29 2021
Journal Name
Iraqi Journal Of Science
An Accurate Handwritten Digits Recognition system Based on DWT and FCT

In this paper an accurate Indian handwritten digits recognition system is
proposed. The system used three proposed method for extracting the most effecting
features to represent the characteristic of each digit. Discrete Wavelet Transform
(DWT) at level one and Fast Cosine Transform (FCT) is used for features extraction
from the thinned image. Besides that, the system used a standard database which is
ADBase database for evaluation. The extracted features were classified with KNearest
Neighbor (KNN) classifier based on cityblock distance function and the
experimental results show that the proposed system achieved 98.2% recognition
rate.

Crossref
View Publication Preview PDF
Publication Date
Mon Feb 07 2022
Journal Name
Cogent Engineering
Scopus (6)
Crossref (5)
Scopus Clarivate Crossref
View Publication
Publication Date
Tue Nov 30 2021
Journal Name
Iraqi Journal Of Science
Text-based Steganography using Huffman Compression and AES Encryption Algorithm

In every system of security, to keep important data confidential, we need a high degree of protection. Steganography can be defined as a way of sending confidential texts through a secure medium of communications as well as protecting the information during the process of transmission. Steganography is a technology that is used to protect users' security and privacy. Communication is majorly achieved using a network through SMS, e-mail, and so on. The presented work suggested a technology of text hiding for protecting secret texts with Unicode characters. The similarities of glyphs  provided invisibility and increased the hiding capacity. In conclusion, the proposed method succeeded in securing confidential data and achieving high p

... Show More
Scopus (3)
Crossref (3)
Scopus Crossref
View Publication Preview PDF
Publication Date
Thu May 10 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
New Steganography System Based on Huffman Coding and Fibonacci Decomposition

   Hiding secret information in the image is a challenging and painstaking task in computer security and steganography system. Certainly, the absolute intricacy of attacks to security system makes it more attractive.in this research on steganography system involving information hiding,Huffman codding used to compress the secret code before embedding which provide high capacity and some security. Fibonacci decomposition used to represent the pixels in the cover image, which increase the robustness of the system. One byte used for mapping all the pixels properties. This makes the PSNR of the system higher due to random distribution of embedded bits. Finally, three kinds of evaluation are applied such as PSNR, chi-square attack, a

... Show More
Crossref
View Publication Preview PDF
Publication Date
Mon Jan 20 2020
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Image Steganography Based on Wavelet Transform and Histogram Modification

      Recently, digital communication has become a critical necessity and so the Internet has become the most used medium and most efficient for digital communication. At the same time, data transmitted through the Internet are becoming more vulnerable. Therefore, the issue of maintaining secrecy of data is very important, especially if the data is personal or confidential. Steganography has provided a reliable method for solving such problems. Steganography is an effective technique in secret communication in digital worlds where data sharing and transfer is increasing through the Internet, emails and other ways. The main challenges of steganography methods are the undetectability and the imperceptibility of con

... Show More
Crossref
View Publication Preview PDF
Publication Date
Sun May 14 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Color Image Steganography Based on Discrete Wavelet and Discrete Cosine Transforms

        The secure data transmission over internet is achieved using Steganography. It is the art and science of concealing information in unremarkable cover media so as not to arouse an observer’s suspicion. In this paper the color cover image is divided into equally four parts, for each part select one channel from each part( Red, or Green, or  Blue), choosing one of these channel depending on the high color ratio in that part. The chosen part is decomposing into four parts {LL, HL, LH, HH} by using discrete wavelet transform. The hiding image is divided into four part n*n then apply DCT on each part. Finally the four DCT coefficient parts embedding in four high frequency sub-bands {HH} in

... Show More
View Publication Preview PDF
Publication Date
Sun Jun 11 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Digital Watermarking in Color Image Based On Joint Between DCT and DWT

The massive distribution and development in the digital images field with friendly software, that leads to produce unauthorized use. Therefore the digital watermarking as image authentication has been developed for those issues. In this paper, we presented a method depending on the embedding stage and extraction stag. Our development is made by combining Discrete Wavelet Transform (DWT) with Discrete Cosine Transform (DCT) depending on the fact that combined the two transforms will reduce the drawbacks that appears during the recovered watermark or the watermarked image quality of each other, that results in effective rounding method, this is achieved by changing the wavelets coefficients of selected DWT sub bands (HL or HH), followed by

... Show More
Crossref
View Publication Preview PDF
Publication Date
Wed Jan 01 2020
Journal Name
Ieee Access
Scopus (37)
Crossref (39)
Scopus Clarivate Crossref
View Publication
Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
Steganography Based on Arabic Language Texts by Kashida Using STRI As RNG

One of the primary problems in internet is security, mostly when computer utilization is increasing in all social and business areas. So, the secret communications through public and private channels are the major goal of researchers. Information hiding is one of methods to obtain a security communication medium and protecting the data during transmission.
This research offers in a new method using two levels to hide, the first level is hiding by embedding and addition but the second level is hiding by injection. The first level embeds a secret message in one bit in the LSB in the FFT and the addition of one kashida. Subtraction of two random images (STRI) is RNG to find positions for hiding within the text. The second level is the in

... Show More
View Publication Preview PDF