Data

IoT Droplock source code and demonstration

James Cook University
Kerrison, Steve
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/7qws-e597&rft.title=IoT Droplock source code and demonstration&rft.identifier=10.25903/7qws-e597&rft.publisher=James Cook University&rft.description=This record contains the code projects used to turn a commercial off the shelf smart padlock into an IoT Droplock - a hacked device designed to steal fingerprints. It also contains code projects for the IoT Droplock proof of concept, using a demonstrator that was custom-built from widely available components. Videos demonstrating both of these Droplocks are included in this record as well. Software/equipment used to create/collect the data Video software: Adobe Premiere, Panopto; Development software: VSCode, Git, Nordic Semiconductor nRF Toolkit, Wireshark, JADX, Ghidra, OpenOCD; Development hardware: STLink v2, LilyGO T-Display-S2, Waveshare capacitive fingerprint reader, TLL05A smart padlock Software/equipment used to manipulate/analyse the data Development software: VSCode, Git, Nordic Semiconductor nRF Toolkit, Wireshark, JADX, Ghidra, OpenOCD; Development hardware: STLink v2, nRF52840 Dongle&rft.creator=Kerrison, Steve &rft.date=2022&rft.coverage=east=103.875872; north=1.316012; projection=WGS84&rft.coverage=Singapore&rft_rights=Applicable licenses: MIT License and nRF5 Nordic License as stated in repository license files and source code headers&rft_subject=iot&rft_subject=droplock&rft_subject=cybersecurity&rft_subject=fingerprint&rft_subject=biometrics&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

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Applicable licenses: MIT License and nRF5 Nordic License as stated in repository license files and source code headers

Access:

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Open: free access under license

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Full description

This record contains the code projects used to turn a commercial off the shelf smart padlock into an "IoT Droplock" - a hacked device designed to steal fingerprints. It also contains code projects for the IoT Droplock proof of concept, using a demonstrator that was custom-built from widely available components. Videos demonstrating both of these Droplocks are included in this record as well.

Software/equipment used to create/collect the data

Video software: Adobe Premiere, Panopto; Development software: VSCode, Git, Nordic Semiconductor nRF Toolkit, Wireshark, JADX, Ghidra, OpenOCD; Development hardware: STLink v2, LilyGO T-Display-S2, Waveshare capacitive fingerprint reader, TLL05A smart padlock

Software/equipment used to manipulate/analyse the data

Development software: VSCode, Git, Nordic Semiconductor nRF Toolkit, Wireshark, JADX, Ghidra, OpenOCD; Development hardware: STLink v2, nRF52840 Dongle

Created: 2022-06-23

Data time period: 16 12 2021 to 22 06 2022

This dataset is part of a larger collection

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103.87587,1.31601

103.875872,1.316012

dcmiPoint: east=103.875872; north=1.316012; projection=WGS84

text: Singapore

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Identifiers
  • DOI : 10.25903/7QWS-E597
  • Local : researchdata.jcu.edu.au//published/a596d130f1d711ec96e79967aec3951f
ACN 633 798 857