Machine Learning for Cyber Agents

Attack and Defence de

,

Éditeur :

Springer


Collection :

Advanced Sciences and Technologies for Security Applications

Paru le : 2022-01-27

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
94,94

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that iswidely misunderstood, under-represented in the academic literature and requires immediate expert attention.
Pages
227 pages
Collection
Advanced Sciences and Technologies for Security Applications
Parution
2022-01-27
Marque
Springer
EAN papier
9783030915841
EAN PDF
9783030915858

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
4444 Ko
Prix
94,94 €
EAN EPUB
9783030915858

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
7373 Ko
Prix
94,94 €