Kapak Resmi

Predictive Data Security using AI Insights and Issues of Blockchain, IoT, and DevOps /

This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also...

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Kaydedildi:
Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Thakkar, Hiren Kumar (Editör), Swarnkar, Mayank (Editör), Bhadoria, Robin Singh (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edisyon:1st ed. 2023.
Seri Bilgileri:Studies in Computational Intelligence, 1065
Konular:
Data protection.
Internet of things.
Artificial intelligence.
Data and Information Security.
Internet of Things.
Artificial Intelligence.
Online Erişim:https://doi.org/10.1007/978-981-19-6290-5
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • Introduction to Data Security with Machine Learning: Traditional Methods vs Recent Trends
  • Data Security and Predictive Informatics: Issues, Challenges, and Opportunities
  • Data Security Analytics using Machine Learning: Supervised and Unsupervised Approaches
  • Data Security in Data Servers: Implementation of Security in Data Servers, Content Delivery Network Servers and Proxy Servers
  • Data Security in Multimedia using AI: Perspective and Practices
  • Data Security in Blockchain: Data Generation, Analysis and Predictions.

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