Published October 6, 2019 | Version v1
Presentation Open

Detecting IoT Devices and How They Put Large Heterogeneous Networks at Security Risk

Authors/Creators

  • 1. University of Wisconsin Madison US
  • 1. ROR icon European Organization for Nuclear Research
  • 2. Universitaet Ulm DE

Description

We present our results to identify and assess IoT devices on a large-scale and heterogeneous network. This work shows that IoT devices endanger networks significantly. With our NetScanIoT software, a total of 19 categories of IoT devices were detected successfully. After identifying these devices with WID, we performed a manual vulnerability assessment on them. This assessment showed that IoT manufacturers did not secure their devices and, moreover, on certain devices did not allow the user to change the credentials at all. The Web-IoT detection tool was able to identify 11 out of 19 categories of IoT devices consisting of 42 various models, manufactured by 26 different vendors. We also identified the corresponding manufacturer and firmware version for these 42 device models which can be used later on for risk identification, associated with these firmware versions.

Files

Control_System_cybersecurity_workshop_NYC.pdf

Files (4.7 MB)

Additional details

Identifiers

CDS
2724107
CDS Report Number
IT-TALK-2019-003

CERN

Department
IT

Conference

Title
7th Control System Cyber-Security Workshop (CS)2/HEP
Dates
06 Oct 2019
Place
Brooklyn, NY
URL
https://indico.cern.ch/event/812348/

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