Steg Rithm: Steganographic Algorithm for Digital ASCII Text Documents

Rafat, Khan Farhan; Sher, Muhammad

doi:10.7763/ijet.2012.v4.480

Cited by 2 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

“…Following capacity is robustness (R) with 14% contributions in the literature. Robustness concerns on modifying the stego object but not affecting the embedded information [24]. A study by [34] stated that in cryptography technique the robustness is the parameter to measuring the secrecy of data transmission, while security is measured the way silent of communicate data.…”

Section: Preferred Extraction Performance Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography

Sabri

Din

2018

IJEECS

View full text Add to dashboard Cite

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.

show abstract

Section: Review Criteriamentioning

confidence: 99%

Section: Preferred Extraction Performance Metricsmentioning

confidence: 99%

Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography

Sabri

Din

2018

IJEECS

View full text Add to dashboard Cite

show abstract

“…The most novel approach to arrest the security challenges in the cloud used by researchers is cryptography and steganography [2]. The both mentioned techniques are used to protect data but in different fashions [6]. Cryptography concerns itself with the masking of the content of a secret message whereas steganography deals with the concealment or hiding of a secret message from an unauthorized person [7].…”

Section: Introductionmentioning

confidence: 99%