READ ME File For 'HoneyPot Data for PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT' Dataset DOI: 10.5258/SOTON/D2151 This readme file was created in March, 2022 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Nathaniel McInnes, University of Southampton Dataset Questions Contact: n.mcinnes@soton.ac.uk Date of data collection: 2018-2021 Data was collected on a Virtual Machine located in the United Kingdom. Related projects: PhD Thesis - A Multi-Level Governance Framework for Increasing Awareness and Reducing Cyber Misuse in Next Generation Cross Border Voice Communication Networks & IoT (DOI: 10.5258/SOTON/T0036) Ethics ID: ERGO/FEPS/45127 This dataset makes up a part of the overall research seen in the Thesis (DOI: 10.5258/SOTON/T0036). Therefore specific acknowledgments for those involved with the contribution to this dataset are: Main Study Author (as part of PhD): Nathaniel McInnes Primary Supervisor: Dr Gary Wills (Cyber Physical Systems) Acknowledgement would also like to be given to E.J. Zaluska who was involved historically in the supervision of this research. Please see Thesis (DOI: 10.5258/SOTON/T0036) for more information on further acknowledgements of who else was involved in the overall combined research. This work was supported by the EPSRC Centre of Doctoral Training (CDT) in Web Science Innovation at the University of Southampton (EP/L016117/1), part of the EPSRC Digital Economy programme. -------------------------- SHARING/ACCESS INFORMATION -------------------------- Attribution 4.0 International (CC BY 4.0) -------------------- DATA & FILE OVERVIEW -------------------- This data set is split into 2 parts. Open (HONEYPOT_OPEN.zip) and Restricted (HONEYPOT_RESTRICTED.zip). The Open folder contains the following files: PART I - Table of Daily Registrations Invites Options.csv PART I - Number of Country IP Subnets Observed.csv PART I - Total Country Data Transfer (VoIP UDP Related).csv PART I - User Registrations by Username and Day.csv PART II - Table of Daily Registrations Invites Options.csv PART II - Number of Country IP Subnets Observed.csv PART II - Total Country Data Transfer (VoIP UDP Related).csv PART II - User Registrations by Username and Day.csv PART II - Countries Originating Calls Based on IP Subnet.csv PART II - Estimated Destination Invite.csv PART II - VoIP Related URLs (Port 80).csv PART II - VoIP Related URLs (Port 443).csv PART III - Table of Daily Registrations Invites Options.csv PART IV - Table of Daily Registrations Invites Options.csv The Restricted data is available on request by researchers and contains further information. The Restricted folder contains the following files: PART I - Total Country Data Transfer (VoIP UDP Related) (RESTRICTED).csv (NB 1) PART I - Sanitized Dialstring and Estimated Countries (RESTRICTED).csv (NB 2) PART II - Total Country Data Transfer (VoIP UDP Related) (RESTRICTED).csv (NB 1) PART II - Sanitized Dialstring and Estimated Countries pt 1 (RESTRICTED).csv (NB 2,3) PART II - Sanitized Dialstring and Estimated Countries pt 2 (RESTRICTED).csv (NB 2,3) Part II - Sanitized Number and Estimated Country (RESTRICTED).csv (NB 1,2,4) PART II - VoIP Related URLs (Port 80) (RESTRICTED).csv (NB 1) PART II - VoIP Related URLs (Port 443) (RESTRICTED).csv (NB 1) NB 1 - The difference between the open and restricted files is the restricted files contain the anonymised IP /24 Subnets in the format 123.123.123.XXX NB 2 - The anonymised SIP invite dial string (with estimated country attempted) in the format: 00441234567XXX, 441234567XXX, United Kingdom NB 3 - Due to record size and for ease of analysis, the list has been split into part 1 and 2. NB 4 - Unique numbers observed in Invites. -------------------------- METHODOLOGICAL INFORMATION -------------------------- For information on the methodology used and how the Honeypot Experiment was conducted, please see Chapter 5.4 and Chapter 6.2 in the Thesis (DOI: 10.5258/SOTON/T0036).