A method of data sanitization has been proposed to protect children on the Internet

19.11.2020 / Conferences, assemblies

The article "Protecting children on the Internet using deep generative adversarial networks" co-authored by the vice-president of ANAS, director of the Institute of Information Technologies, academician Rasim Alguliyev, leading researcher, doctor of philosophy in technology, associate professor Fargana Abdullayeva and chief specialist Sabira Ojagverdiyeva Published in the International Journal of Computational Systems Engineering, published by Inderscience.

The study proposed a two-block approach based on Deep Generative Rival Networks, which sanitizes data to manage children's access to harmful information in the Internet environment. According to the proposed approach, the auto-encoder in the generator block performs the transformation of sensitive attributes considered dangerous for children by adding certain noise, and the logistic regression in the discriminator block performs the transformation of the transformed data.

Note that the “International Journal of Computational Systems Engineering” (IJCSysE) publishes “Google Scholar”, “Academic OneFile (Gale)”,” cnpLINKer (CNPIEC)”, “Info Trac (Gale)” and others. indexed in such international scientific databases.

source: science.gov.az