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Power Line Communication (PLC) is consistently looked at as a cost effective and elegant solution for many large scale control and automation communication problems. This includes many critical infrastructure Supervisory Control and Data Acquisition (SCADA) systems. Because of this, PLC is investigated for the purposes of Wired Signal Distinct Native Attribute (WS-DNA) Physical-Layer (PHY) classification...
This paper investigates a methodology of utilizing Radio Frequency Distinct Native Attributes (RF-DNA) as a method of determining the authenticity of semiconductor devices. Unintentional RF Emissions (URE) are collected from a device and compared to other devices. This method implements a non-contact, non-destructive process to discriminate between mixed-signal Integrated Circuits (IC).
Industrial control systems are used to operate critical infrastructure assets in the civilian and military sectors. Current industrial control system architectures are predominantly based on networked digital computers that enable reliable monitoring and control of critical functions via localized and distributed operations. Many industrial control systems, in particular, supervisory control and data...
This paper investigates a methodology for reverse engineering the sequence of operations executed by a microcontroller unit (MCU). Unintentional radio-frequency (RF) emissions are collected from a device and compared with a library of reference signals using a matched filter to identify operations. The reconstructed program sequence can be used to detect rogue device operation.
This paper proposes a process of utilizing Correlation-Based Anomaly Detection (CBAD) on Unintentional RF (Radio Frequency) Emissions (URE) as a method of detecting anomalous behavior in microcontrollers. The number of counterfeit devices and malicious code being found in military systems is increasing. Therefore, an effective method of detecting anomalous behavior is required to determine whether...
Device discrimination has been effectively demonstrated using classification processes acting on RF-DNA features as input sequences. Device discrimination utilizing RF-DNA classifiers requires training signals representative of the expected test signals that capture device uniqueness. Current techniques divide collected signals into uniformly distributed and sized regions prior to generating the RF-DNA...
Device discrimination using RF-DNA utilizes the uniqueness resulting from integrated circuit (IC) manufacturing process variation. As an IC ages toward wear-out failure, internal physical alterations may impart additional changes on the order of initial process variations. This paper proposes exploration of: 1) the impact of aging on RF-DNA discrimination reliability, and 2) a means to monitor IC...
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