Steganalysis And Steganography

Thus steganography is said to be a covert communication. In contrast to Cryptography, where the enemy is allowed to detect, intercept and modify messages without being able to violate certain security premises guaranteed by a cryptosystem, the goal of Steganography is to hide messages inside other harmless messages in a way that does not allow any enemy to even detect that there is a presence of second message [1]. Both steganography and cryptography are meant for secret communication but the approach is different. Hiding of secret message using steganography can be done in different forms like text steganography, image steganography, audio steganography and video steganography. Encoding secret messages in audio is the most challenging task while using steganography because human auditory system (HAS) is more perceptive than human visual system (HVS) [5]. Thus audio file is used as a cover file to hide secret data and it is called audio steganography. In Audio steganography, secret message is embedded into digitized audio signal which results into altering the binary sequence of corresponding audio file. There are several methods are available for audio

Steganography in the context of digital content piracy serves primarily as a method to track where digital assets are moving or who is receiving them. It can be a good solution for distribution of a small number of copies but becomes less effective when distributing on a wide basis. In order for it to be effective a content provider needs to recover the content by means of the unauthorized channel and examine the indicator marked on the copy. This is cumbersome for wide distribution but can be used on a broad basis such as by region. Region coding is used with many DVD releases for example but can also be considered a type of DRM (Andrew,

The basic concept is that it has a cover object that is used to cover the original message image, a host object that is the message or main image which is to be transmitted and the steganography algorithm to carry out the required object. The output is an image called stego-image which has the message image inside it, hidden. This stego image is then sent to the receiver where the receiver retrieves the message image by applying the de-steganography

The word steganography is of Greek origin and means "concealed writing" from the Greek words steganosmeaning "covered ", and graph demeaning “writing”. Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence ofthe message.. Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol. Media files are ideal for steganographic transmission because of their large size. As a simple example, a sender might start with an innocuous image file and

Typical network steganography methods involve modification of the properties of a single network protocol. Such modification can be applied to the PDU (Protocol Data Unit), [29][30][31] to the time relations between the exchanged PDUs,[32] or both (hybrid methods).[33]

Here we briefly describe the LSB matching revisited based on adaptive steganography. In 2010 Weiqi Luo et al. [20] proposed an edge adaptive scheme which select the regions for embedding according to the size of secret message and the difference between two successive pixels in the cover image. For lesser embedding rates, simply sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate enhances, more edge regions can be released adaptively for data hiding by modifying just a few parameters. LSB matching revisited (LSBMR)[4] considers a pair of pixels as an embedding component, in which the LSB of the first pixel embeds one bit of secret message, and the relationship (odd–even combination) of the two pixel values carries another bit of secret message.The modification rate of pixels can decrease from 0.5 to 0.375 bits/pixel (bpp) in the case of a maximum embedding rate, meaning lesser changes to the cover image at the same payload compared to LSB replacement and LSB matching. It has been shown that such a scheme can avoid the LSB replacement style asymmetry, and thus it should make the detection slightly more difficult than the LSB matching scheme.The approach consist of two parts-embeddding and extraction. The embedding part first initializes some parameters, which are used for successive data preprocessing and region selection, and then estimates the capacity of selected regions. If the regions are big enough for hiding the secret message , then data hiding is performed on the selected regions. Then,it does some postprocessing to get the stego image. Otherwise the scheme needs to revise the parameters, and then repeats region selection and

Security of information become the fundamental issue nowadays, because of advancement in ICT. So steganography is the best technique to use for security of information

Dead files by dead accounts may not be removed without the cooperation of the corresponding users. In the paper “Steganographic Schemes for File System and B-Tree” [3], they have introduced StegFD, a practical scheme to implement a steganographic file system in which a plausible deniability to owners of protected files is offered. StegFD hides the selected files in a file system securely in such a way that, an attacker will not be able to trace their existence, even if the attacker has full knowledge of the hardware and software and data structures of the file system .They have also proposed two schemes for implementing Steganographic B-trees in a StegFD volume. In paper “A Multi-User Steganographic File System on Untrusted Shared Storage” [4] the threat to steganographic file systems (StegFS) is described which arises when the storage system is untrusted and is shared by multiple users. In such cases, the attacker could obtain multiple snapshots of the storage content and analyze them to deduce the existence of secret user data. To solve this problem, they have introduced a Dummy-Relocatable Steganographic (DRSteg) file system. It employs new techniques to share and relocate dummy data at

Image Steganography: In today’s digital world secret messages get embedded in to the digital image which is called as Image Steganography where cover object used is Image . Because of the limited power of the Human vision system this method is most commonly used [5].

Steganography is art of hiding the secret message within an ordinary message and extraction of its destination. Steganography take cryptography a step farther by hiding an encrypted message so that no one finds the existence of the message. If anyone scans your data will fail to know that it contain encrypted data. Steganography maintain the secure communication between the communicating parties. There are different techniques that are used for hiding the secret data as Steganography, Cryptography and Watermarking. There are various drawbacks of the cryptography that are covered by the Steganography. This paper reviews the Steganography techniques and various matrices for performance analysis of Steganography techniques.

Abstract— Steganography is a technique of hiding the secret information. Steganography hides the existence of the secret data and make the communication undetectable. Secret data can be communicated in an appropriate multimedia carrier such as image, audio or video. Image steganography is extensively used technique. In this technique secret data is embedded within the image. Steganography techniques can be categorized into two groups - adaptive and non-adaptive. Each of these have its strengths and weaknesses. Adaptive steganography embeds the secret information in the image by adapting some of the local features of the image. Non-adaptive steganography embeds secret data equally in each and every pixel of the image. Several techniques have been proposed for hiding the

However, the statistical distribution of filesystems metadata is affected by such large scale copying. By analyzing this distribution, stochastic forensics is able to identify and examine such data theft. Typical filesystems have a heavy tailed distribution of file access. Copying in huge disturbs this structure and is consequently detectable. Stochastic mechanics has been used to successfully investigate insider data theft where other techniques have failed. Basically, after stochastic forensics has identified the data theft, the traditional forensic techniques are

[1] Paulo Max G. I. Reis (2017) et al present that Audio authentication is an essential project in multimedia forensics stressful strong techniques to hit upon and identify tampered audio recordings. In this text, a brand new method to detect adulterations in audio recordings is proposed by exploiting odd versions inside the Electrical Network Frequency (ENF) signal in the end embedded in a questioned audio recording. These unusual versions are due to abrupt segment discontinuities because of insertions and suppressions of audio snippets during the tampering task. First, we recommend an ESPRIT-Hilbert ENF estimator alongside an outlier detector based at the sample kurtosis of the anticipated ENF. Next, we use

Abstract- The utilization of PC systems for information transmissions has made the need of security. The security of this intuitive media data should be possible with encryption or information concealing calculations. To diminish the transmission time, the information pressure is necessary. Since couple of years, an issue is to attempt to join pressure, encryption and information covering up in a solitary stride. Picture security turns out to be progressively critical for some applications, e.g., secret transmission, video reconnaissance, military and therapeutic applications. These days, the transmission of pictures is an every day routine and it is important to locate a proficient approach to transmit them over systems. They send Secret message over channel utilizing Cryptography and Steganography calculations by AES (Advanced Encryption Standard). It is utilized to scramble the information from plain content to figure content the other way around. There are two sorts of keys accessible in the cryptography, symmetric and asymmetric. There are utilizing symmetric key which is separated into two key, for example, private and open key. Open key is utilized for encryption and private key is utilized for decoding. The reversible information concealing method is utilized to recover the information and picture

new technique has been introduced which is the hybrid of encryption and wavelet-based ECG steganography technique .