Prevention And Detection Mechanism For Security In Passive Rfid System

Low-cost radio frequency identification (RFID) tags conforming to the EPCglobal Class-1 Generation-2 standard are inherently insecure due to computational constraints. This thesis proposed the use of both prevention and detection mechanisms to solve the security and privacy issues. A lightweight cryptographic mutual authentication protocol which is resistant to tracking, denial of service (DoS) and replay attacks is proposed as a prevention mechanism. The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). The proposed protocol using 64 bits index is proved having the lowest non-unequivocally identification probability. In addition, the randomness of the session key generated from the MLCG is verified using NIST test suite. Besides that, the security of the proposed protocol is validated using the formal analysis tool, AVISPA. The correctness of the proposed protocol is demonstrated in a simulation model developed in JAVA TCP/IP socket. Next, the proposed protocol is implemented in RFID system including IAIK UHF Demo tag, TagSense Nano-UHF reader and back-end database. A GUI is created in a form of JAVA application to display data detected from tag. The proposed protocol implemented in real RFID system outperforms other related protocols because of 13.46 % shorter read time and write time consumed. The system is proved to be able to prevent tracking, DoS, and replay attacks from adversaries with moderate computation requirement compared to other related protocols

Investigation of Electromagnetic Signatures of a FPGA Using an APREL EM-ISIGHT System

Large military platforms have encountered major performance and reliability issues due to an increased number of incidents with counterfeit electronic parts. This has drawn the attention of Department of Defense (DOD) leadership making detection and avoidance of counterfeit electronic parts a top issue for national defense. More defined regulations and processes for identifying, reporting, and disposing of counterfeit electronic parts are being revised to raise awareness for this aggregating issue, as well as enhance the detection of these parts. Multiple technologies are currently employed throughout the supply chain to detect counterfeit electronic parts. These methods are often costly, time-consuming, and destructive. This research investigates a non-destructive test method that collects unintentionally radiated electromagnetic emissions from functional devices using a commercially available system, the APREL EM-ISight. A design of experiments (DOE) is created and exploited to determine the optimal test settings for measuring devices. The sensitivity of the system is analyzed by scanning a commercial-off-the-shelf (COTS) field-programmable gate array (FPGA) at the optimal test settings established from the DOE and varying the programmed signal. This research established the viability of using APRELs EM-ISight to detect a devices inherent electromagnetic signature. Another take away from this research is the tradeoff between resolution and scantime

Electromagnetic Transmission of Intellectual Property Data to Protect FPGA Designs

International audienceOver the past 10 years, the designers of intellectual properties(IP) have faced increasing threats including cloning, counterfeiting, andreverse-engineering. This is now a critical issue for the microelectronicsindustry. The design of a secure, efficient, lightweight protection scheme fordesign data is a serious challenge for the hardware security community. In thiscontext, this chapter presents two ultra-lightweight transmitters using sidechannel leakage based on electromagnetic emanation to send embedded IPidentity discreetly and quickl

Integrated Circuit Wear-out Prediction and Recycling Detection using Radio-Frequency Distinct Native Attribute Features

Radio Frequency Distinct Native Attribute (RF-DNA) has shown promise for detecting differences in Integrated Circuits(IC) using features extracted from a devices Unintentional Radio Emissions (URE). This ability of RF-DNA relies upon process variation imparted to a semiconductor device during manufacturing. However, internal components in modern ICs electronically age and wear out over their operational lifetime. RF-DNA techniques are adopted from prior work and applied to MSP430 URE to address the following research goals: 1) Does device wear-out impact RF-DNA device discriminability?, 2) Can device age be continuously estimated by monitoring changes in RF-DNA features?, and 3) Can device age state (e.g., new vs. used) be reliably estimated? Conclusions include: 1) device wear-out does impact RF-DNA, with up to a 16 change in discriminability over the range of accelerated ages considered, 2) continuous(hour-by-hour) age estimation was most challenging and generally not supported, and 3) binary new vs. used age estimation was successful with 78.7 to 99.9 average discriminability for all device-age combinations considered

EMI measurement and modeling techniques for complex electronic circuits and modules

This dissertation consists of four papers. In the first paper, a combined model for predicting the most critical radiated emissions and total radiated power due to the display signals in a TV by incorporating the main processing board using the Huygens Equivalence theorem and the radiation due to the flex cable based on active probe measurements was developed. In the second paper, a frequency-tunable resonant magnetic field probe was designed in the frequency range 900-2260 MHz for near-field scanning applications for the radio frequency interference studies by using a varactor diode providing the required capacitance and the parasitic inductance of a magnetic field loop (i.e., a parallel LC circuit). Measurement results showed good agreement with the simulated results. In the third paper, a wideband microwave method was developed as a means for rapid detection of slight dissimilarities (including counterfeit) and aging effects in integrated circuits (ICs) based on measuring the complex reflection coefficient of an IC when illuminated with an open-ended rectangular waveguide probe, at K-band (18-26.5 GHz) and Ka-band (26.5-40 GHz) microwave frequencies. In the fourth paper, a method to predict radiated emissions from DC-DC converters with cables attached on the input side to a LISN and on the output side to a DC brushless motor as load based on linear terminal equivalent circuit modeling was demonstrated. The linear terminal equivalent model was extracted using measured input and output side common mode currents for various characterization impedances connected at the input and output terminals of the converter --Abstract, page iv

Anti-counterfeiting: Mixing the Physical and the Digital World

In this paper, we overview a set of desiderata for building digital anti-counterfeiting technologies that rely upon the difficulty of manufacturing randomized complex 3D objects. Then, we observe how this set is addressed by RF-DNA, an anti-counterfeiting technology recently proposed by DeJean and Kirovski. RF-DNA constructs certificates of authenticity as random objects that exhibit substantial uniqueness in the electromagnetic domain

Materials Analysis Using a THz Imaging System Based on Atomic Vapour

This thesis studies the response of the interaction between Rydberg atomic vapour and a THz frequency field. When Caesium atoms at room temperature are excited to a Rydberg state using three infrared lasers and a 0.55 THz field resonant with the 14P3/2 → 13D5/2 transition is applied, the atoms respond by emitting a green optical fluorescence corresponding to the 13D5/2 → 6P3/2 decay. This response is exploited to investigate the absorption coefficient for different polymer materials that transmit well in the THz frequency range using the Beer–Lambert law. We calibrate the system to obtain a measure of THz intensity. As the THz imaging system is highly sensitive to environmental changes, and to show that our results are consistent, we provide a comparison of results between our atomic detection method and a commercial thermal power meter. Additionally, we measure the absorption coefficient of the same materials at a frequency of 1.1 THz, and the results are compared with those measured at 0.55 THz. The THz imaging system is also used to perform some experiments in order to demonstrate its effectiveness in real-world applications. The system provides an interesting image contrast in the case of a sample containing two different polymer materials measured at two THz frequencies. The result is a proof-of-concept that multispectral THz imaging can provide additional information and is motivation to improve our THz imaging system by introducing a dual-species THz imager. We also investigate the polarisation spectroscopy of an excited-state transition of rubidium vapour at room temperature as a step towards a rubidium THz imaging system. The narrow dispersive signal produced by this spectroscopy technique is ideal for laser frequency stabilisation of excited-state transitions

EFFICIENT LEARNING FOR HARDWARE SECURITY VALIDATION USING ELECTROMAGNETIC SIDE CHANNELS

The objective of this thesis is to combine the non-destructive monitoring advantages of standard and backscattering electromagnetic side channels with modern machine learning techniques to efficiently validate the authenticity of individual integrated circuits installed on a motherboard. The authenticity of integrated circuits is of increasing concern as more steps in the device manufacturing supply chain are outsourced, especially in light of severe global semiconductor shortages. Common methods for integrated circuit validation rely on either destructive techniques before high resolution imaging of the circuit interconnects or functional testing of a variety of test inputs with automated test equipment. These methods are time-consuming or even intractable to detect counterfeit components or stealthy modifications of their underlying circuitry. Side channels are any means of remotely leaking information related to a circuit's activity or architecture. Our work takes advantage of the electromagnetic (EM) side channel to remotely capture identifying information emitted from or backscattered off integrated circuits in the form of EM signals that can be used to validate their authenticity. This research attempts to alleviate the need for time-consuming and expensive destructive validation methods for hardware security by robustly detecting inauthentic or modified integrated circuits with remote EM side-channel measurements. The first aim of this research is to apply deep learning methods to classify and detect counterfeits of major ICs on a variety of motherboards. The second aim is to leverage hyperspectral scanning with the backscattered EM side-channel and a novel active learning method to detect dormant hardware trojans several times smaller than before. The last aim is to develop a compressed sensing approach to heavily reduce sampling for hardware trojan detection as well as to develop a hyperspectral characterization of expected and anomalous circuits.Ph.D