Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Supervised and unsupervised pattern recognition: feature extraction and computational intelligence
Supervised and unsupervised pattern recognition: feature extraction and computational intelligence
An Introduction to Neural Networks
An Introduction to Neural Networks
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Data Obfuscation: Anonymity and Desensitization of Usable Data Sets
IEEE Security and Privacy
Artificial Neural Networks
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Modelling and Mining of Networked Information Spaces
Algorithms and Models for the Web-Graph
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In this letter we present a neural network based data masking solution, in which the database information remains internally consistent yet is not inadvertently exposed in an interpretable state. The system differs from the classic data masking in the sense that it can understand the semantics of the original data and mask it using a neural network which is a priori trained by some rules. Our adaptive data masking (ADM) concentrates on data masking techniques such as shuffling, substitution, masking and number variance in an intelligent fashion with the help of adaptive neural network. The very nature of being adaptive makes data masking easier and content agnostic, and thus finds place in various vertical domains and systems.