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Securing CNN Model and Biometric Template using Blockchain

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TLDR
This research model a trained biometric recognition system in an architecture which leverages the blockchain technology to provide fault tolerant access in a distributed environment and shows that the proposed approach provides security to both deep learning model and the biometric template.
Abstract
Blockchain has emerged as a leading technology that ensures security in a distributed framework. Recently, it has been shown that blockchain can be used to convert traditional blocks of any deep learning models into secure systems. In this research, we model a trained biometric recognition system in an architecture which leverages the blockchain technology to provide fault tolerant access in a distributed environment. The advantage of the proposed approach is that tampering in one particular component alerts the whole system and helps in easy identification of ‘any’ possible alteration. Experimentally, with different biometric modalities, we have shown that the proposed approach provides security to both deep learning model and the biometric template.

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Citations
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On the Robustness of Face Recognition Algorithms Against Attacks and Bias

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Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models

TL;DR: This article proposes a non-deep learning approach that searches over a set of well-known image transforms such as Discrete Wavelet Transform and Discrete Sine Transform, and classifies the features with a support vector machine-based classifier, efficiently generalizes across databases as well as different unseen attacks and combinations of both.
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Measuring Decentrality in Blockchain Based Systems

TL;DR: This work identifies the emergence of centrality in three layers of Blockchain based systems, namely governance layer, network layer and storage layer, and quantifies decentrality in these layers using various metrics.
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A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture

TL;DR: In this paper, the current state of privacy preservation utilising blockchain and smart contracts, as applied to a number of fields and problem domains, is outlined, and future directions of research in areas combining future technologies, privacy-preservation and blockchain.
References
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Proceedings ArticleDOI

EnergyChain: Enabling Energy Trading for Smart Homes using Blockchains in Smart Grid Ecosystem

TL;DR: EnergyChain, a blockchain model for storing and accessing the data generated by smart homes in a secure manner is proposed and shows that EnergyChain outperforms the traditional scheme in terms of communication costs and computation time.
Proceedings ArticleDOI

Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect?

TL;DR: A simple but efficient approach based on pixel values and Principal Component Analysis as features coupled with a Support Vector Machine as the classifier, to detect image-agnostic universal perturbations.
Proceedings ArticleDOI

SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition

TL;DR: SmartBox is a python based toolbox which provides an open source implementation of adversarial detection and mitigation algorithms against face recognition and provides a platform to evaluate newer attacks, detection models, and mitigation approaches on a common face recognition benchmark.
Proceedings ArticleDOI

DeepRing: Protecting Deep Neural Network With Blockchain

TL;DR: A model which uses the learned parameters of a typical deep neural network and is secured from external adversaries by cryptography and blockchain technology is proposed and a new parameter tampering attack is proposed to properly justify the role of blockchain in machine learning.
Proceedings ArticleDOI

Enhancing Breeder Document Long-Term Security Using Blockchain Technology

TL;DR: This work presents a cost efficient way to enhance the long-term security of breeder documents by utilizing blockchain technology and provides evidence that the Bitcoin blockchain is most suitable for breeder document long- term security.