Name: Privacy Protection in Big Data Analytics (en Inglés)
Price: 44.04 USD
Availability: InStock
Author: P, Geetha
ISBN: 9789879492437

portada Privacy Protection in Big Data Analytics (en Inglés)

Formato

Libro Físico

Autor

Geetha P

Editorial

Vikatan Publishing Solutions

Idioma

Inglés

N° páginas

140

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.8 cm

Peso

0.20 kg.

ISBN13

9789879492437

Categorías

Seguridad y pautas de conducta online
Data mining: minería de datos
Privacidad y protección de datos

Privacy Protection in Big Data Analytics (en Inglés)

Geetha P (Autor) · Vikatan Publishing Solutions · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 18 de Julio y el Lunes 29 de Julio.

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Reseña del libro "Privacy Protection in Big Data Analytics (en Inglés)"

Privacy protection in big data analytics refers to the process of safeguarding the privacy and confidentiality of sensitive information in large datasets, while still allowing for the extraction of valuable insights and patterns from the data. Big data analytics involves the use of advanced algorithms and technologies to analyze vast amounts of data, often containing personal or sensitive information, to gain insights and make informed decisions.However, as more and more data is collected and analyzed, there is an increasing risk of privacy breaches and data misuse. To address this challenge, privacy protection techniques such as data anonymization, encryption, and access controls are used to ensure that sensitive information is protected from unauthorized access or disclosure.Data anonymization involves the removal or modification of personally identifiable information (PII) from the dataset, while still retaining its usefulness for analysis. Encryption involves encoding the data in a way that can only be deciphered with a key, ensuring that only authorized users can access it. Access controls restrict access to the data to only those who need it for legitimate purposes.Privacy protection in big data analytics is crucial for maintaining trust between data owners and users, protecting individual privacy rights, and complying with regulatory requirements