ECG biometrie template protection based on secure sketch scheme

Zaghouani, Emna Kalai; Benzina, Adel; Attia, Rabah

doi:10.23919/softcom.2017.8115526

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other words, this does not mean that the heart signal is not random. 6 tests [14] Chi-Square [12,91,153] No tests [13,19,140,142,92,149,152,150,154,106,89,90,88,16,158,159] 6. Challenges and Conclusions Challenges and Directions.…”

Section: Summary Of Surveyed Papersmentioning

confidence: 99%

Heart-Based Biometric Protocols: A look back over almost two decades

Ortiz-Martin¹,

Picazo-Sanchez²

2022

Preprint

View full text Add to dashboard Cite

This article surveys the literature over the period 2003-2021 on heart-based biometric protocols. In particular, we focus on how the heart signal is transformed from a continuous wave to discrete values to be used afterwards in authentication protocols. We explain and classify the surveyed proposals according to three main parameters: i) the dataset they use for testing their results; ii) the delineation algorithms they use to extract the fiducial points, and; iii) the cryptographic tests they run (if any) to validate how random the extracted token is.

show abstract

Section: Summary Of Surveyed Papersmentioning

confidence: 99%

Heart-Based Biometric Protocols: A look back over almost two decades

Ortiz-Martin¹,

Picazo-Sanchez²

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…A semisupervised clustering scheme for key generation is developed in [27] that delivers consistent and discriminative keys for handwritten signatures. Zaghouani and others [28] design and assess a secure sketch scheme for ECG templates that preserves performance identification of the unprotected systems and maintains an acceptable identification speed as compared to the slower identification speed in fuzzy commitment scheme. A quantization scheme is used by Anees and Chen [29] which caters to the variations in the face templates along with providing security and reducing the feature size.…”

Section: Key-generation Biometric Cryptosystemsmentioning

confidence: 99%

“…[36] planned to focus on a stronger projection matrix design for their proposed work. [28] considered the incorporation of a secure sketch with a secret key, thereby combining key binding and key generation approaches. Face and fingerprint are the two popular modalities for developing biometric template protection schemes when dealing with deep neural networks, leading to other behavioral biometrics being overlooked.…”

Section: Open Challengesmentioning

confidence: 99%