Application of data hiding in audio-video using anti forensics technique for authentication and data security

2014 ◽  
Author(s):  
Sunil. K. Moon ◽  
Rajeshree. D. Raut
Keyword(s):  
Data Hiding ◽  
Data Security ◽  
Audio Video

scholarly journals Developing audio data hiding scheme using random sample bits with logical operators

2019 ◽  
Vol 13 (1) ◽  
pp. 147 ◽  
Author(s):  
Mohammed Hatem Ali Al-Hooti ◽  
Tohari Ahmad ◽  
Supeno Djanali
Keyword(s):  
Information Technology ◽  
Random Sample ◽  
Data Hiding ◽  
Data Security ◽  
Secret Data ◽  
Audio File ◽  
Logical Operators ◽  
Audio Data ◽  
Case Data

Sharp development progress of information technology has affected many aspects including data security. This is because classified data are often transferred between systems. In this case, data hiding exists to protect such data. Some methods which have been proposed, however, are not yet optimal concerning the amount of the secret and the quality of the resulted stego data. In this paper, we explore an audio file as the medium to carry the secret data which has been extracted into binary. Before the process begins, the cover is converted to binary and each sample’s bits are divided into two groups, one is used as the location of the embedded 4 bits whereas the second part locates the two bits that are randomly selected as the key. The experimental results have validated that the capacity is high and there is no much impact on the quality. Moreover, compared to the current LSB methods the security is exceedingly enhanced.

scholarly journals Confidentiality of Data using Hash Function

2021 ◽  
pp. 606-610
Author(s):  
K. Ramprakaash ◽  
S. Ramkumar ◽  
R. K. Santhosh ◽  
P. Shanmuga Priya
Keyword(s):  
Data Hiding ◽  
Efficient Method ◽  
Data Security ◽  
Efficient Algorithm ◽  
Hash Function ◽  
Banking System ◽  
Online Transactions ◽  
Security Pattern ◽  
Data Extracting ◽  
Secure Transmission

Steganography and Cryptography are two major fields which is widely used for data security. With the help of these technologies, data security is provided in banking system. In the proposed method, the online transactions are done virtually using hash function. Encryption of data is done by using the cryptographic hash function algorithm. The proposed approach implements an efficient algorithm for embedding the data in an image using steganography which provides the better security pattern for sending messages through a network. The authentication details of the sender and the receiver is hidden to achieve a secure transmission. The proposed approach provides better integrity and confidentiality. This paper implemented a novel methodology which can be used as a secure and highly efficient method of data hiding and data extracting.

scholarly journals Signature Text,Image and Audio Hiding in a Color Image using Steganography and Cryptography

2021 ◽  
Vol 23 (06) ◽  
pp. 709-720
Author(s):  
Shivansh Bishen ◽  
◽  
Paurav Malik ◽  
Saloni Rao ◽  
Prakash Biswagar ◽  
...  
Keyword(s):  
Data Security ◽  
Color Image ◽  
Data Communication ◽  
Message Content ◽  
Stego Image ◽  
Text Documents ◽  
Vigorous Growth ◽  
Encoding Method ◽  
Audio Information ◽  
Audio Video

Data Transmission in network security is one of the foremost vital issues in today’s communication world. the end result of that’s that Data security has gained utmost importance because of the unprecedented increase within the data generated over the web, which could be a basic necessity of any application in information technology. The vigorous growth within the field of data communication has made information transmission much easier. But this kind of advancement has opened many possibilities of data being snooped. So, day-by-day maintaining of data security is becoming an inseparable part of computing and communication. In this report, we’ve got explored techniques that blend cryptography and steganography together. Steganography may be a specialty of science to manage and conceal a chunk of important information inside image, audio, video, or text documents. Steganography may be a method and study of composing a secret communication specified only the source and also the targeted beneficiary will realize the concealed information. the information concealed or covered process starts with the steganography method by identifying a network canopy and redundant parts, i.e. only permitted persons would be able to change without affecting the standard of that medium. The encoding method generates a Stego medium by substituting these redundant bits with the concealed message content. In this report, various approaches for information hiding using both cryptography and steganography is proposed keeping in mind two considerations-size of the encrypted object and degree of security. Here, signature image, text, audio information is kept hidden into a cover image using the private key of sender and receiver, which extracts the data from stego image employing a public key. This approach is often used for message authentication, message integrity, and non-repudiation purpose.

Region Secure and Pattern Based Alternate 2B-3C Steganography Approach for Data Security in Color Images

2019 ◽  
Vol 9 (3) ◽  
pp. 330-344
Author(s):  
Kapil Juneja
Keyword(s):  
Real Time ◽  
Data Hiding ◽  
Data Security ◽  
Similarity Index ◽  
Color Images ◽  
Least Significant Bit ◽  
The Core ◽  
Saturation Intensity ◽  
Rectangular Pattern ◽  
Index Matrix

Background and Objective: The public and group communication carried out in the social, cloud, and mobile networks suffer from unauthorized users. The data security is required for secure authentication, monetary transactions and other sensitive information. The steganography methods empower the user with invulnerable communication in public domain. In this paper, a region secure and pattern based alternate 2B-3C (2Bit-3Channel) Steganography method is proposed to improve the content reliability and data security. Methods: In this method, the cover pixels are retrieved by applying the spiral rectangular pattern over the cover image. This spiral pattern also secures the core content region and the pixels from the core ROI (Region of Interest) is used as a cover only for larger size secret information. In this proposed steganography method, two channels are considered alternatively based on the defined rules. The LSB (Least Significant Bit) of both channels is XOR with input data bits and key to perform data hiding. The method is applied on real time color images taken from COREL and USC-SIPI-ID. The evaluation of proposed steganography approach is done using MSE (Mean Square Error), PSNR (Peak Signal-to-Noise Ratio), BER (Bit Error Rate), NCC (Normalized Cross Correlation) and SSIM (Structural Similarity Index Matrix). Result: The comparative results are generated for 50 real time images against the existing LSB (Least Significant Bit), LSBM (Least Significant Bit Modulation), LSBMR (Least Significant bit Matched Revisited), SCC (Stego Color Cycle), SHSI (Simple Hue-Saturation-Intensity), HIS-MLSB(Simple Hue-Saturation-Intensity-Modified LSB) and IMMEA(Iterative Magic Matrix Encryption Algorithm) methods. Conclusion: The experimentation results verified that the proposed 2B-3C approach improved the data hiding in qualitative and quantitative aspects.

Applications of Machine Learning in Steganography for Data Protection and Privacy

2021 ◽  
pp. 306-325
Author(s):  
Mahip M. Bartere ◽  
Sneha Bohra ◽  
Prashant Adakane ◽  
B. Santhosh Kumar
Keyword(s):  
Machine Learning ◽  
Data Hiding ◽  
Data Protection ◽  
Data Security ◽  
Data Extraction ◽  
Original Data ◽  
Extraction Techniques ◽  
Reverse Engineer ◽  
Applications Of Machine Learning

Data security is one of the most important aspects in today's scenario. Whenever we send our data from source to destination, data protection is one of the prime components. With the help of data hiding and data extraction techniques, we are able to provide the solution of different types of problems whenever we transfer our data. Steganography is a process where we can hide our data and maintain the quality of the image. At the same time, we think about data alteration. With the help of stegtanalysis method, we reverse engineer and extract the original data. In this chapter, data hiding and data extraction techniques are explained in the combination of machine learning architecture. The combination of steganography and steganalysis along with machine learning is used to identify protected data using different techniques.

Unseen to Seen by Digital Steganography

2021 ◽  
pp. 1-28
Author(s):  
Samir Kumar Bandyopadhyay ◽  
Vishal Goyal ◽  
Shawni Dutta ◽  
Sabyasachi Pramanik ◽  
Hafiz Husnain Raza Sherazi
Keyword(s):  
Data Hiding ◽  
Private Information ◽  
Basic Model ◽  
Digital Era ◽  
Different Types ◽  
Digital Objects ◽  
New Form ◽  
Audio Video ◽  
Digital Steganography

In this digital era, most of the daily works of users are captured in digital forms like image, audio, video, or even text. These may contain sensitive, confidential, or private information as well. To keep these, there are different techniques exercised over the years like chest, coffer, repository, treasury, etc. Sometimes such ways of hiding information attract unintended users. Therefore, steganography has been applied to digital objects in a new form called digital steganography. This chapter enforces identifying methods in digital steganography. The basic model of any type of digital steganography is composed of three types of objects: cover object, text to be hidden, and stego object. Depending on the type of cover object, different types of digital steganography methods have been defined. Only data hiding in text is discussed.

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