Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits.
Create an account for free
Contact
How to shop
Help
Delivery
DPD courier 4.99 €
GLS courier 11.49 €
Shopping guide
My account
▸
Empty :-(
0
Machine Learning for Cyber Security
7th International Conference, ML4CS 2025, Hangzhou, China, December 12-14, 2025, Proceedings
Language
English
English
E-book
Adobe ePub DRM
This book constitutes the proceedings of the 7th International Conference on Machine Learning for Cy...
Full description
Libristo code: 52512032
?
210 b
New
210 b
New
86.78
€
In stock
Immediate digital delivery
This book constitutes the proceedings of the 7th International Conference on Machine Learning for Cyber Security, ML4CS 2025, which taking place during December 12-14, 2025 held in Hangzhou, China.The 18 full papers presented in this book were carefully reviewed and selected from 97 submissions. ML4CS is a well-recognized annual international forum for AI-driven security researchers to exchange ideas and present their works. The conference focus on topics such as blockchain, network security, system security, software security, threat intelligence, cybersecurity situational awareness and much many more.
Actress
&
Polyglot
EWA KASP
for
Play video
Libristo has the largest selection of foreign-language books. That’s why I buy my books there.
About the book
Full name
Machine Learning for Cyber Security
Author
Yang Xiang, Jian Shen
Language
English
English
Binding
E-book - Adobe ePub DRM
Date of issue
2026
EAN
9789819578207
Libristo code
52512032
Publishers
Springer
Categories
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's address
Book advisor Libroamiko
By using this chat, you are communicating with generative artificial intelligence. By using it, you also agree to the processing of personal data.
Hi! I'm Libroamiko, your book advisor.
How can I help you?
Hi, I'm Libroamiko, can I help?