Authors:
- Provides several helpful tactics for honeypot detection and deflection
- Especially helpful for non-experts, thanks to its comprehensive and accessible content
- Offers a reference guide for readers interested in honeypots and their applications in various fields
Part of the book series: SpringerBriefs on Cyber Security Systems and Networks (BRIEFSCSSN)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
About this book
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 offers extensive information on the contribution of honeypots in some of the most popular malware research area such as DDoS, Worm, APT, forensics and Bot attacks.
The book subsequently tackles the issue of honeypot countermeasures, shows many of the tricks often used by hackers to discover honeypots, and proposes a counter-countermeasure to help conceal them. It then puts forward a new framework that integrates various novel concepts, and which can feasibly be used for the detection of potential ransomware and bitcoin. As such, the book provides non-experts with a concise guide to honeypots, and will also benefit practitioners working on security systems.
Authors and Affiliations
-
School of Information, Deakin University, Burwood, Melbourne, Australia
Chee Keong NG, Lei Pan
-
Digital Research and Innovation Capability, Swinburne University of Technology, Hawthorn, Melbourne, Australia
Yang Xiang
About the authors
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.Bibliographic Information
Book Title: Honeypot Frameworks and Their Applications: A New Framework
Authors: Chee Keong NG, Lei Pan, Yang Xiang
Series Title: SpringerBriefs on Cyber Security Systems and Networks
DOI: https://doi.org/10.1007/978-981-10-7739-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-981-10-7738-8Published: 21 May 2018
eBook ISBN: 978-981-10-7739-5Published: 08 May 2018
Series ISSN: 2522-5561
Series E-ISSN: 2522-557X
Edition Number: 1
Number of Pages: XII, 81
Number of Illustrations: 5 illustrations in colour
Topics: Security, Computer Systems Organization and Communication Networks, Systems and Data Security, Applications of Graph Theory and Complex Networks, Math Applications in Computer Science, Simulation and Modeling