Physical-Layer Identification of Power Line Communications Using WS-DNA Fingerprinting
Abstract
Vulnerabilities in networked systems can leave critical infrastructure exposed to cyber attacks and short falls in home automation communication security permit similar attacks against government personnel. PLC as a network communication method is a cost effective solution supporting many of these networks. Global time synchronization can allow a SPN of multiple interconnected devices to transmit repeated signals simultaneously which can increase operating range and reliability. PLC device and SPN discrimination using WS-DNA fingerprinting is investigated for PHY intrusion detection. 6 Insteon Hubs are used for single device DUT discrimination. The same 6 Insteon Hubs are integrated with 4 different Insteon On/Off Outlets to create 24 distinct SPNs that are used in SPN DUT discrimination. For single device DUT, an average C = 90 is achieved at SNR 36 dB. ROC curves are used to illustrate rogue detection results with EER of 10 achieved for all devices at SNR = 40 dB. For the SPN DUT subset an average of C = 90 is achieved for SNR 50 dB with rogue detection resulting in a EER = 10 achieved at SNR = 50 dB.