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Honeypot Frameworks and Their Applications: A New Framework

  • Chee Keong NG
  • Lei Pan
  • Yang Xiang

Part of the SpringerBriefs on Cyber Security Systems and Networks book series (BRIEFSCSSN)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 1-5
  3. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 7-13
  4. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 15-41
  5. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 43-50
  6. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 51-66
  7. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 67-74
  8. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 75-78
  9. Chee Keong Ng, Lei Pan, Yang Xiang
    Pages 79-81

About this book

Introduction

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.

Keywords

P2P Botnets monitoring anti-monitoring circumvent crawler sensor botmaster ransmware bitcoin Honeypot

Authors and affiliations

  • Chee Keong NG
    • 1
  • Lei Pan
    • 2
  • Yang Xiang
    • 3
  1. 1.School of InformationDeakin UniversityBurwood, MelbourneAustralia
  2. 2.School of InformationDeakin UniversityBurwood, MelbourneAustralia
  3. 3.Digital Research and Innovation CapabilitySwinburne University of TechnologyHawthorn, MelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7739-5
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-7738-8
  • Online ISBN 978-981-10-7739-5
  • Series Print ISSN 2522-5561
  • Series Online ISSN 2522-557X
  • Buy this book on publisher's site