A safe and secured iris template using steganography and cryptography

Abikoye, Oluwakemi Christiana; Ojo, Umar Abdulraheem; Awotunde, Joseph Bamidele; Ogundokun, Roseline Oluwaseun

doi:10.1007/s11042-020-08971-x

Cited by 45 publications

(23 citation statements)

References 18 publications

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“…1 MC-CH: Matrix coding and chaos theory 2 HOOK: HOOK mechanism, 3 ME: matrix embedding technique, 4 MCD-STC: cepstrum distortion cost function and Syndrome Trellis Codes, 5 NPP-QIM: quantization-indexmodulation based on the replacement of the nearest-neighbor projection point, 6 PDM: pulse distribution model, 7 OAET: optimized audio embedding technique. 8 B-G: bit-grading.…”

Section: Workmentioning

confidence: 99%

“…However, this method is only suitable for the detection of the steganographic domain of SIP tags, so the applicability needs to be further improved. 1 SVM: support vector machine, 2 CT: Chaos Theory, 3 PSR: phase space reconstruction technique, 4 GMM: Gaussian mixture model, 5 MFCC: Mel-frequency cepstral coefficients, 6 M-F C: multi-feature classification.…”

Section: Steganalysis Based On the Application Layermentioning

confidence: 99%

“…Because human organs are insensitive (for example, the ears are not very perceptive to subtle changes in sound [4]), people are not able to use their senses to discover the difference between the original carrier (the carrier that does not contain secret information) and the secret carrier (the carrier that contains secret information), and they are unable to discover the covert communication. Distinct from encryption technology, steganography technology provides a more reliable and safe method of information transmission by hiding the location and method of embedded information to make the information undetectable to third parties [5,6]. Encryption technology causes the transmitted cipher text to have an obvious sense of "violation", which is more likely to arouse the alertness of attackers.…”

Section: Introductionmentioning

confidence: 99%

“…1 SCM: Steganography and Confrontation Model, 2 SCCEP: Steganography classification based on embedding position, 3 SSCEP: Steganalysis classification based on embedding position, 4 PSM: Protocol stack model, 5 CCSM: Covert communication scene model, 6 PCSS: Performance comparison of steganalysis, 7 CPR: Compare with the previous reviews, 8 ×: no, 9 -: not involve, 10 √ : yes.…”

mentioning

confidence: 99%

“…CS-ACB: control the scope of the ACB search, 2 DLS: double layer steganography, 3 HideF0+: an improved version of the HideF0, 4 PDAS: adaptive steganography algorithm based on the unvoiced pitch delay jitter characteristics, 5 FPD-APMS: adaptive partial matching steganography based on fractional pitch delay search,6 MME: multi-matrix embedding.…”

mentioning

confidence: 99%

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Steganography and Steganalysis in Voice over IP: A Review

Guo

Zhang

et al. 2021

Sensors

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The rapid advance and popularization of VoIP (Voice over IP) has also brought security issues. VoIP-based secure voice communication has two sides: first, for legitimate users, the secret voice can be embedded in the carrier and transmitted safely in the channel to prevent privacy leakage and ensure data security; second, for illegal users, the use of VoIP Voice communication hides and transmits illegal information, leading to security incidents. Therefore, in recent years, steganography and steganography analysis based on VoIP have gradually become research hotspots in the field of information security. Steganography and steganalysis based on VoIP can be divided into two categories, depending on where the secret information is embedded: steganography and steganalysis based on voice payload or protocol. The former mainly regards voice payload as the carrier, and steganography or steganalysis is performed with respect to the payload. It can be subdivided into steganography and steganalysis based on FBC (fixed codebook), LPC (linear prediction coefficient), and ACB (adaptive codebook). The latter uses various protocols as the carrier and performs steganography or steganalysis with respect to some fields of the protocol header and the timing of the voice packet. It can be divided into steganography and steganalysis based on the network layer, the transport layer, and the application layer. Recent research results of steganography and steganalysis based on protocol and voice payload are classified in this paper, and the paper also summarizes their characteristics, advantages, and disadvantages. The development direction of future research is analyzed. Therefore, this research can provide good help and guidance for researchers in related fields.

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Section: Workmentioning

confidence: 99%

Section: Steganalysis Based On the Application Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Steganography and Steganalysis in Voice over IP: A Review

Guo

Zhang

et al. 2021

Sensors

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Effect of Hadamard multiplication on bloom filter and double bloom filter transformations

Sreedharan¹,

2023

Security and Privacy

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Iris biometric is the most common and widely accepted biometric authentication method due to its high accuracy. The iris biometric template should be protected to overcome security and privacy attacks. The two standard iris biometric template protection methods are bloom filter and double bloom filter‐based feature transformations. In this article, we first permuted and then applied the p‐order Hadamard product on the iris template before the bloom filter and double bloom filter‐based transformation to enhance the security. The performance and security are measured using the CASIAv1 iris benchmark database to study the effect of Hadamard multiplication on bloom and double bloom filter‐based transformation. The Hadamard multiplication on the iris template increases the security of the transformed iris template and slightly degrades the matching performance.

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Modified Least Significant Bit Technique for Securing Medical Images

Ogundokun

Abikoye

Misra

et al. 2020

Lecture Notes in Business Information Processing

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The confidentiality and safety of patient records is a significant concern for medical professionals. So protections must be placed to guarantee that illegal individuals do not have access to medical images (Patient's description). Hence, the objective of this study is to secure digital medical images being transmitted over the internet from being accessed by an intruder. The study, therefore, proposed a modified Least Significant Bit (LSB) algorithm implemented on a MATLAB 2018a programming environment, and the proposed system was compared with the existing system using three performance metrics which are PSNR. MSE and SSIM. The result showed that the proposed approach outperformed the current standard methods by producing a more robust, high capacity, and highly imperceptible stego image. The comparative analysis conducted also showed that the PSNR valve is higher, and MSE value is lower when compared with existing systems. It was concluded that the projected technique accomplishes excellently in making the medical image transmitted to be more secured, robust, and invisible, thereby making the communication to be unnoticeable by an intruder or attacker.

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A safe and secured iris template using steganography and cryptography

Cited by 45 publications

References 18 publications

Steganography and Steganalysis in Voice over IP: A Review

Steganography and Steganalysis in Voice over IP: A Review

Effect of Hadamard multiplication on bloom filter and double bloom filter transformations

Modified Least Significant Bit Technique for Securing Medical Images

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