Hiding Data in Video File: An Overview

Al-Frajat, Ali Khadair Kadam; Jalab, Hamid A.; Kasirun, Zarinah Mohd; Zaidan, A. A.; Zaidan, B. B.

doi:10.3923/jas.2010.1644.1649

Cited by 68 publications

(8 citation statements)

References 36 publications

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“…Video steganography is the field of digital steganography that is less researched than image steganography, yet it provides a set of benefits [4]:…”

Section: Video Steganographymentioning

confidence: 99%

Comparison of Video Steganography Methods for Watermark Embedding

Griberman

Rusakov

2016

Applied Computer Systems

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Neuroeconomics has the potential to fundamentally change the way economics is done. This article identifies the ways in which this will occur, pitfalls of this approach, and areas where progress has already been made. The value of neuroeconomics studies for social policy lies in the quality, replicability, and relevance of the research produced. While most economists will not contribute to the neuroeconomics literature, we contend that most economists should be reading these studies.

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“…Video steganography is the field of digital steganography that is less researched than image steganography, yet it provides a set of benefits [4]:…”

Section: Video Steganographymentioning

confidence: 99%

Comparison of Video Steganography Methods for Watermark Embedding

Griberman

Rusakov

2016

Applied Computer Systems

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“…Seganography plays a major part in defending privacy for different applications. In the last decade there were many researches done on improving steganography applications that are used in: Online transactions, military communication, ownership of digital images, authentication, copyright, data integrity, adding captions to images, etc [10,11]. In this research, video (multimedia) steganography is used as a media for our proposed covert channel due to the fast increase in movies shared over the Internet [8].…”

Section: Covert Channels Backgroundmentioning

confidence: 99%

A Novel Approach Covert Channel for Secret Communications

Hadi

2014

IJCT

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This paper presents a novel covert channel for secret communications. It implements a new application layer covert channel, by applying multimedia steganography techniques to hide secret messages. This new channel method (called Under Your Radar (UYR)) provides a stealthiness method for the communication channel and an efficient method for hiding messages, as proved by our investigations. Such a covert channel will be used for transferring secret messages in two phases. In phase one, the message characters will be embedded randomly into the pixels of video frames. The choice of pixels is dependent on finding an identical value of the character ASCII representation from one of the pixel channels. The positions of pixels will form the steganography key, which will be used later to extract the message. Also, the steganography key will be embedded in an image using the LSB steganography technique. In phase two, the secret message will be exchanged between the sender and the receiver by sharing the video along with the steganography key over a public service (e.g. a social network), which serves as the new covert communication channel. The experiments outcomes have showed an improvement on the success of the proposed covert channel in exchanging secret messages without rising suspicion by observers or detection tools.

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“…Customer should submit this code along with his fingerprint features through a BAC file to the server to be validated and verified. The model also includes web pages to generate the FP-TAC and verifies the credit card (CC) information (Ahmed et al, 2010;Al-Frajat et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Security improvement of credit card online purchasing system

Naji¹,

Housain²,

Zaidan³

et al. 2011

Sci. Res. Essays

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The paper aims to improve the security of the credit card online purchasing with taking into account the time and cost issues. Since the current online purchasing system using credit card has security drawbacks, a security improvement is suggested in this work by implementing a model which integrates the current authentication system of credit card with the fingerprint authentication. Moreover, it complements with a technique for validating and transmitting the fingerprint features. The customer submits his or her credit card information through the internet together with a file containing the fingerprint features and a validation code. This technique makes the customer feels more secure, at the same time it makes credit card fraud more difficult. Credit card information, fingerprint transaction authorization code and fingerprint features were the main components of the model. The authorization code is able to handle the usage of the scanned fingerprint features for one time only and preventing the submission of old and expired features. In addition, a 'biometric and authorization code' file is presented in this work to increase the fingerprint features security. It has its own structure in terms of storing the authorization code and fingerprint features which is unknown for the attacker and known only for the matching program. The average processing time consumed by the model to match all the data is 2.47 s while the overall accuracy rate was 99.48% with 0.52% error rate.

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Hiding Data in Video File: An Overview

Cited by 68 publications

References 36 publications

Comparison of Video Steganography Methods for Watermark Embedding

Comparison of Video Steganography Methods for Watermark Embedding

A Novel Approach Covert Channel for Secret Communications

Security improvement of credit card online purchasing system

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