A Framework for Counterfeit Smart Grid Device Detection
- Florida Intl Univ., Miami, FL (United States)
The core vision of the smart grid concept is the realization of reliable two-way communications between smart devices (e.g., IEDs, PLCs, PMUs). The benefits of the smart grid also come with tremendous security risks and new challenges in protecting the smart grid systems from cyber threats. Particularly, the use of untrusted counterfeit smart grid devices represents a real problem. Consequences of propagating false or malicious data, as well as stealing valuable user or smart grid state information from counterfeit devices are costly. Hence, early detection of counterfeit devices is critical for protecting smart grid’s components and users. To address these concerns, in this poster, we introduce our initial design of a configurable framework that utilize system call tracing, library interposition, and statistical techniques for monitoring and detection of counterfeit smart grid devices. In our framework, we consider six different counterfeit device scenarios with different smart grid devices and adversarial seZings. Our initial results on a realistic testbed utilizing actual smart-grid GOOSE messages with IEC-61850 communication protocol are very promising. Our framework is showing excellent rates on detection of smart grid counterfeit devices from impostors.
- Research Organization:
- Florida International Univ. (FIU), Miami, FL (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE)
- DOE Contract Number:
- OE0000779
- OSTI ID:
- 1341350
- Resource Relation:
- Conference: IEEE 2016 Conference on Communications and Network Security, Philadelphia, PA (United States)
- Country of Publication:
- United States
- Language:
- English
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