menu
{ "item_title" : "Generative Adversarial Networks for Cybersecurity", "item_author" : [" E. Chandra Blessie", "Pethuru Raj", "B. Sundaravadivazhagan "], "item_description" : "This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/04/109/801/1041098014_b.jpg", "price_data" : { "retail_price" : "140.99", "online_price" : "140.99", "our_price" : "140.99", "club_price" : "140.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Generative Adversarial Networks for Cybersecurity|E. Chandra Blessie

Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns.

This item is Non-Returnable

Details

  • ISBN-13: 9781041098010
  • ISBN-10: 1041098014
  • Publisher: Auerbach Publications
  • Publish Date: May 2026
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.2 pounds
  • Page Count: 248

Related Categories

You May Also Like...

    1

BAM Customer Reviews