Honeypot Frameworks and Their Applications: A New Framework

de

, ,

Éditeur :

Springer

Paru le : 2018-05-08

This book presents the latest research on honeypots and their applications. After introducing readers to the basic concepts of honeypots and common types, it reviews various honeypot frameworks such as web-server-based, client-based, shadow and artificially intelligent honeypots. In addition, it off...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
63,29
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2018-05-08

Pages
81 pages

EAN papier
9789811077388

Auteur(s) du livre


Chee Keong NG completed his Master of IT at Deakin University, Australia. He is now pursuing his PHD in Philosophy (IT). His research interests include honeypots, ransomware and deep learning. Dr Lei Pan received his Ph.D. in Computer Forensics from Deakin University, Melbourne, Australia, in 2008. He currently teaches at Deakin University, Burwood, Victoria, Australia, where he offers courses on cybersecurity. His research interests include cybersecurity and privacy, software security testing, and the applications of analytics in security and privacy. He is also an active cybersecurity educator on futurelearn.com. Professor Yang Xiang received his PhD in Computer Science from Deakin University, Australia and is currently the Dean of the Digital Research & Innovation Capability Platform at Swinburne University of Technology, Australia. His research interests include network and system security, data analytics, distributed systems, and networking. Further, he is a Senior Member of the IEEE.

Caractéristiques détaillées - droits

EAN PDF
9789811077395
Prix
63,29 €
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
1505 Ko

Suggestions personnalisées