06-10-2016, 12:11 PM
A Novel approach for data hiding in the video motion using crypt analytical algorithm
1458012590-ANovelapproachfordatahidinginthevideomotionusingcryptanalyticalalgorithm.docx (Size: 1.21 MB / Downloads: 7)
ABSTRACT:Video data hiding is still an important research topic due to the design complexities involved. We propose a new video data hiding method that makes use of erasure correction capability of Repeat Accumulate codes and superiority of Forbidden Zone Data Hiding. Selective embedding is utilized in the proposed method to determine host signal samples suitable for data hiding. This method also contains a temporal synchronization scheme in order to withstand frame drop and insert attacks. The proposed framework is tested by typical broadcast material against MPEG-2, H.264 compression, frame-rate conversion attacks, as well as other well-known video data hiding methods. The decoding error values are reported for typical system parameters. The simulation results indicate that the framework can be successfully utilized in video data hiding applications.
Keywords: Steganography, Data hiding, Least SignificantBit Method (LSB),Motion Vector.
I INTRODUCTION
S TEGANOGRAPHY is the art and science of covert com- munication, which embeds secret messages in commoncover media so as not to arouse an eavesdropper’s suspicion.As digital video has become one of the most influential mediatoday, video transmission can be used as an ideal cloak of secret
message delivery.
Motion vector (MV) is peculiar to compressed video, andhas been utilized as the covert information carrier in manysteganographic approaches [1]–[4]. MV-based schemes are typically integrated with video compression, and embed secretpayloads during the process of motion estimation (ME) byMV modifications. Such embedding fashion comes with a tiny degradation in coding efficiency (PSNR and bit-rate). However,state-of-art steganalytic works, e.g., [5], [6], believe existingMV-based schemes always shift the local optimal MVs tonon-optimal, so that clues of data embedding are left. Amongexisting targeted attacks, Wang et al’s method [6] achievesthe best detection accuracy.Under the assumption of “MV
values directly obtained from the compressed video are locallyoptimal, which means data hiding on MVs will shift the localoptimal MVs to non-optimal”, the steganalytic feature set called
“AoSO” (Add-or-Subtract-One) is designed for classification.
2.1EXISTING SYSTEM:
In special domain, the hiding process such as least significant bit(LSB) replacement, is done in special domain, while transform domain methods; hide data in another domain such as wavelet domain.Least significant bit (LSB) is the simplest form of Steganography. LSB is based on inserting data in the least significant bit of pixels, which lead to a slight change on the cover image that is not noticeable to human eye. Since this method can be easily cracked, it is more vulnerable to attacks.LSB method has intense affects on the statistical information of image like histogram. Attackers could be aware of a hidden communication by just checking the Histogram of an image. A good solution to eliminate this defect was LSB matching. LSB-Matching was a great step forward in Steganography methods and many others get ideas from it
2.2PROPOSED SYSTEM
Data hiding in video sequences is performed in two major ways: bit stream-level and data-level.
In this paper, we propose a new block-based selective embedding type data hiding framework that encapsulates Forbidden Zone Data Hiding (FZDH)
By means of simple rules applied to the frame markers, we introduce certain level of robustness against frame drop, repeat and insert attacks.
ADVANTAGES
• User cannot find the original data.
• It is not easily cracked.
• To increase the Security.
• To increase the size of stored data.
• We can hide more than one bit