The Embedding Performance of StegSVM Model in Image Steganography

Hussain, Hanizan Shaker; Din, Roshidi; Ali, Mohd Hanif; Balqis, Nor

doi:10.11591/ijeecs.v12.i1.pp233-238

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…As mentioned earlier the steganalyser is to exploit the vulnerable fields of image header to identify the tool. The fields that may lead to identification of the tools are detailed for each format [25]- [29].…”

Section: Fields Considered In Each Image Formatmentioning

confidence: 99%

Forensic steganalysis for identification of steganography software tools using multiple format image

Veena¹,

Selvaraj²

2021

IJ-ICT

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Today many steganographic software tools are freely available on the Internet, which helps even callow users to have covert communication through digital images. Targeted structural image steganalysers identify only a particular steganographic software tool by tracing the unique fingerprint left in the stego images by the steganographic process. Image steganalysis proves to be a tough challenging task if the process is blind and universal, the secret payload is very less and the cover image is in lossless compression format. A payload independent universal steganalyser which identifies the steganographic software tools by exploiting the traces of artefacts left in the image and in its metadata for five different image formats is proposed. First, the artefacts in image metadata are identified and clustered to form distinct groups by extended K-means clustering. The group that is identical to the cover is further processed by extracting the artefacts in the image data. This is done by developing a signature of the steganographic software tool from its stego images. They are then matched for steganographic software tool identification. Thus, the steganalyser successfully identifies the stego images in five different image formats, out of which four are lossless, even for a payload of 1 byte. Its performance is also compared with the existing steganalyser software tool.

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Section: Fields Considered In Each Image Formatmentioning

confidence: 99%

Forensic steganalysis for identification of steganography software tools using multiple format image

Veena¹,

Selvaraj²

2021

IJ-ICT

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“…This password is generated based on system date and time at a random basis and then sent as confidential text [1] into a cover image using steganography [2,3,4]. Embedding [5] and extraction techniques are also applied using an innovative approach which assures adequate space saving and lesser modification in a stego image  ISSN:2089-3272 IJEEI, Vol. 8, No.…”

Section: The Proposed Solutionmentioning

confidence: 99%

A Unique Way to Generate Password at Random Basis and Sending it Using a New Steganography Technique

Pramanik

Singh²,

Ghosh

et al. 2020

IJEEI

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Data hiding is a technique for the secure transmission of confidential data. Many data hiding techniques exist and steganography is the most important one. This paper presents a new steganography method in the spatial domain. We use steganography to send confidential information from sender to receiver. Here, we generate a password at random basis in a unique way based on system time and date. Then we send this confidential password using steganography by implementing a totally new embedding and extraction technique based on the exact length of bits in the binary representation of ASCII values. Here, confidential text information is embedded into cover image generating a stego image and sent to the receiver maintaining top-level secrecy.

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“…THE PROPOSED METHOD 2.1. Generation of CAPTCHA a) Generate a random number [13] between 8 and 16. Let it be n. (We consider that our CAPTCHA would be minimum of 8 characters and maximum of 16 characters) b) Initialize a string str as str=" " c) Perform following task for n times d) Generate random numbers between 97 and 122 (ASCII of a to z) and place it into the variable char.…”

Section: The Proposed Solutionmentioning

confidence: 99%

A new encrypted method in image steganography

Pramanik

Singh²,

Ghosh

2019

IJEECS

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Steganography is data hiding technique in internet. Here we send CAPTCHA codes within a cover image using Image steganography. CAPTCHA are the crazy codes. They are used in human response test. The word is actually an acronym for: "Completely Automated Public Turing test to tell Computers and Humans Apart". It is a type of challenge–response test used in computing to determine whether or not the user is a human. Websites implement CAPTCHA codes into their registration processes due to spam. This is the utility of CAPTCHA codes. Here we generate CAPTCHA codes and later send them in an encrypted version. So, actually CAPTCHA codes are embedded into cover image with an encrypted form resulting stego image and thus attackers cannot fetch the actual CAPTCHA resulting in a secured transmission of confidential data using image steganography.

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The Embedding Performance of StegSVM Model in Image Steganography

Cited by 6 publications

References 8 publications

Forensic steganalysis for identification of steganography software tools using multiple format image

Forensic steganalysis for identification of steganography software tools using multiple format image

A Unique Way to Generate Password at Random Basis and Sending it Using a New Steganography Technique

A new encrypted method in image steganography

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