An Elucidation on Steganography and Cryptography

Chaudhary, Sunita; Dave, Meenu; Sanghi, Amit; Manocha, Jaideep

doi:10.1145/2905055.2905249

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…The data extraction process essentially converts the cipher text into the plain text by using a secret key. As an example, [9] mapped the pixels into an image, which is a type of extraction method. The requirements for data extraction in watermarking method include the watermarked image and the secret key.…”

Section: Figure 1 Data Hiding Frameworkmentioning

confidence: 99%

“…There are various type of extraction performance criteria frequently used in data hiding. Security [9], [11]- [19] S Imperceptibility [11], [20] IM Capacity [11]- [13][21]- [23] C Robust [9], [19], [24] R Efficiency [16], [18], [25] E Invisibility [26] IN Accuracy [27], [28] AC Speed [15] SP Complexity [21] CP Reversibility [25], [29] RV Realitibility RL Integrity [24], [30] IG Perceptibility [11] PC Assumption [24] AS Confidentiality [31] CF Availability [32] V…”

Section: Review Criteriamentioning

confidence: 99%

“…The Overall, the majority of performance type preferred refers to the capacity (C) aspect about 32%. Generally, this aspect is about amount or volume of data that can be embedded in the cover medium or the capability of a cover media to hide secret information [9].…”

Section: Preferred Extraction Performance Metricsmentioning

confidence: 99%

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Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography

Sabri

Din

2018

IJEECS

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In today's era of big data computer networks, protection of secret messages when transmitting information is a major concern. The openness and publicity of the communication channel are the main attraction for malicious people to steal personal data even though privacy protection in operational. Data extraction is process that reverses the data embedding process in information hiding. However, the performance of an information hiding framework highly depends on the evaluation metrics used. The effectiveness of evaluation itself is mainly determined by the performance aspect or critera such as capacity, imperceptibility or security. The aim of this paper is to present a review on trends for existing performance metrics used in extraction schemes from a data hiding framework. This review is hoped to help future research in evaluating the performance of data hiding framework in general and the proposed extraction schemes in specific.

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Section: Figure 1 Data Hiding Frameworkmentioning

confidence: 99%

Section: Review Criteriamentioning

confidence: 99%

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Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography

Sabri

Din

2018

IJEECS

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“…On the other hand, steganography is a technique that hides a secret message in an ordinary message sent to the recipient. Hence, it prevents the original message from being intercepted by the unauthorized person which provides a safe exchange of information [12]. The remainder of the paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

A conceptual model of tacit knowledge transfer in steganography

Talib¹,

Ahmad²,

Din³

2018

IJET

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Steganography is a technique that involves a secret hidden message concealed inside the media cover using formats such as text, images, video or audio. Secret messages sent from the sender to the receiver are considered as knowledge being transferred from the expert to the novice. However, previous studies related to the knowledge transfer from experts to novices in the field of computer security, particularly in the field of steganography, are limited. Therefore, this study aims to investigate the knowledge transfer process occurring in steganography by using an information management transfer model. The methodology consists of theory development, model validation, instrument development, survey and model verification. This paper proposes a novel Stego-based SECI Model that demonstrates how the knowledge transfer process occurs in steganography.

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