Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks
Creators
- 1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Description
A challenge facing industrial control network administrators is protecting the typically large number of connected assets for which they are responsible. These cyber devices may be tightly coupled with the physical processes they control and human induced failures risk dire real-world consequences. Dynamic virtual honeypots are effective tools for observing and attracting network intruder activity. This paper presents a design and implementation for self-configuring honeypots that passively examine control system network traffic and actively adapt to the observed environment. In contrast to prior work in the field, six tools were analyzed for suitability of network entity information gathering. Ettercap, an established network security tool not commonly used in this capacity, outperformed the other tools and was chosen for implementation. Utilizing Ettercap XML output, a novel four-step algorithm was developed for autonomous creation and update of a Honeyd configuration. This algorithm was tested on an existing small campus grid and sensor network by execution of a collaborative usage scenario. Automatically created virtual hosts were deployed in concert with an anomaly behavior (AB) system in an attack scenario. Virtual hosts were automatically configured with unique emulated network stack behaviors for 92% of the targeted devices. The AB system alerted on 100% of the monitored emulated devices
Availability note (English)
Available from: DOI:10.1109/TII.2014.2304633 ; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period from OSTI using http://www.osti.gov/pages/biblio/1136315Additional details
Identifiers
Publishing Information
- Journal Title
- IEEE Transactions on Industrial Informatics
- Journal Volume
- 10
- Journal Issue
- 2
- Journal Page Range
- p. 1337-1347
- ISSN
- 1551-3203
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 47051913
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ALGORITHMS; CONTROL SYSTEMS; HAZARDS; SECURITY
- Descriptors DEC
- MATHEMATICAL LOGIC
Optional Information
- Contract/Grant/Project number
- AC07-05ID14517
- Funding organization
- USDOE (United States)
- Secondary number(s)
- INL/JOU--14-32392; OSTIID--1136315