An Overview of Radio Frequency Fingerprinting for Low-End Devices

2014 ◽  
Vol 6 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Saeed Ur Rehman ◽  
Shafiq Alam ◽  
Iman T. Ardekani
Keyword(s):  
Low Cost ◽  
Sampling Rate ◽  
Practical Implementation ◽  
Wireless Devices ◽  
Digital To Analog Converters ◽  
Additional Layer ◽  
Wireless Transmitter ◽  
Rf Fingerprinting ◽  
Band Pass ◽  
Rf Fingerprints

RF fingerprinting is proposed as a means of providing an additional layer of security for wireless devices. A masquerading or impersonation attacks can be prevented by establishing the identity of wireless transmitter using unique transmitter RF fingerprint. Unique RF fingerprints are attributable to the analog components (digital-to-analog converters, band-pass filters, frequency mixers and power amplifiers) present in the RF front ends of transmitters. Most of the previous researches have reported promising results with an accuracy of up to 99% using high-end receivers (e.g. Giga-sampling rate oscilloscopes, spectrum and vector signal analysers) to validate the proposed techniques. However, practical implementation of RF fingerprinting would require validation with low-end (low-cost) devices that also suffers from impairments due to the presence of analog components in the front end of its receiver. This articles provides the analysis and implementation of RF fingerprinting using low-cost receivers and challenges associated with it.

scholarly journals Security of Wireless Devices using Biological-Inspired RF Fingerprinting Technique

2014 ◽  
pp. 311-330 ◽  
Author(s):  
Saeed ur Rehman ◽  
Shafiq Alam ◽  
Iman T. Ardekani
Keyword(s):  
Signal To Noise Ratio ◽  
Wireless Devices ◽  
Signal To Noise ◽  
Neural Network Classification ◽  
Additional Layer ◽  
Rf Fingerprinting ◽  
Wireless Device ◽  
Rf Fingerprint ◽  
Rf Fingerprints ◽  
Unknown Signal

Radio Frequency (RF) fingerprinting is a security mechanism inspired by biological fingerprint identification systems. RF fingerprinting is proposed as a means of providing an additional layer of security for wireless devices. RF fingerprinting classification is performed by selecting an “unknown” signal from the pool, generating its RF fingerprint, and using a classifier to correlate the received RF fingerprint with each profile RF fingerprint stored in the database. Unlike a human biological fingerprint, RF fingerprint of a wireless device changes with the received Signal to Noise Ratio (SNR) and varies due to mobility of the transmitter/receiver and environment. The variations in the features of RF fingerprints affect the classification results of the RF fingerprinting. This chapter evaluates the performance of the KNN and neural network classification for varying SNR. Performance analysis is performed for three scenarios that correspond to the situation, when either transmitter or receiver is mobile, and SNR changes from low to high or vice versa.

scholarly journals Pocket MUSE: an affordable, versatile and high-performance fluorescence microscope using a smartphone

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yehe Liu ◽  
Andrew M. Rollins ◽  
Richard M. Levenson ◽  
Farzad Fereidouni ◽  
Michael W. Jenkins
Keyword(s):  
High Performance ◽  
Point Of Care ◽  
Low Cost ◽  
Consumer Electronics ◽  
Practical Implementation ◽  
The Novel ◽  
Point Of Care Diagnostics ◽  
Optical Module ◽  
Optical Configuration ◽  
User Friendly

AbstractSmartphone microscopes can be useful tools for a broad range of imaging applications. This manuscript demonstrates the first practical implementation of Microscopy with Ultraviolet Surface Excitation (MUSE) in a compact smartphone microscope called Pocket MUSE, resulting in a remarkably effective design. Fabricated with parts from consumer electronics that are readily available at low cost, the small optical module attaches directly over the rear lens in a smartphone. It enables high-quality multichannel fluorescence microscopy with submicron resolution over a 10× equivalent field of view. In addition to the novel optical configuration, Pocket MUSE is compatible with a series of simple, portable, and user-friendly sample preparation strategies that can be directly implemented for various microscopy applications for point-of-care diagnostics, at-home health monitoring, plant biology, STEM education, environmental studies, etc.

Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

2021 ◽  
Vol 5 (2) ◽  
pp. 1-20
Author(s):  
Jiaqi Xu ◽  
Wei Sun ◽  
Kannan Srinivasan
Keyword(s):  
Low Cost ◽  
Sampling Rate ◽  
Identification Algorithm ◽  
Current Standard ◽  
Tag Identification ◽  
Rfid Systems ◽  
Passive Tags ◽  
Sensing Systems ◽  
Channel Diversity ◽  
Channel Information

RFID techniques have been extensively used in sensing systems due to their low cost. However, limited by the structural simplicity, collision is one key issue which is inevitable in RFID systems, thus limiting the accuracy and scalability of such sensing systems. Existing anti-collision techniques try to enable parallel decoding without sensing based applications in mind, which can not operate on COTS RFID systems. To address the issue, we propose COFFEE, which enables parallel channel estimation of COTS passive tags by harnessing the collision. We revisit the physical layer design of current standard. By exploiting the characteristics of low sampling rate and channel diversity of RFID tags, we separate the collided data and extract the channels of the collided tags. We also propose a tag identification algorithm which explores history channel information and identify the tags without decoding. COFFEE is compatible with current COTS RFID standards which can be applied to all RFID-based sensing systems without any modification on tag side. To evaluate the real world performance of our system, we build a prototype and conduct extensive experiments. The experimental results show that we can achieve up to 7.33x median time resolution gain for the best case and 3.42x median gain on average.

scholarly journals Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2480
Author(s):  
Isidoro Ruiz-García ◽  
Ismael Navarro-Marchal ◽  
Javier Ocaña-Wilhelmi ◽  
Alberto J. Palma ◽  
Pablo J. Gómez-López ◽  
...  
Keyword(s):  
Data Fusion ◽  
Reference System ◽  
Inertial Sensor ◽  
Low Cost ◽  
Sampling Rate ◽  
Sensor Data ◽  
Fusion Algorithm ◽  
Improve Technique ◽  
Worst Case ◽  
Sensor Data Fusion

In skiing it is important to know how the skier accelerates and inclines the skis during the turn to avoid injuries and improve technique. The purpose of this pilot study with three participants was to develop and evaluate a compact, wireless, and low-cost system for detecting the inclination and acceleration of skis in the field based on inertial measurement units (IMU). To that end, a commercial IMU board was placed on each ski behind the skier boot. With the use of an attitude and heading reference system algorithm included in the sensor board, the orientation and attitude data of the skis were obtained (roll, pitch, and yaw) by IMU sensor data fusion. Results demonstrate that the proposed IMU-based system can provide reliable low-drifted data up to 11 min of continuous usage in the worst case. Inertial angle data from the IMU-based system were compared with the data collected by a video-based 3D-kinematic reference system to evaluate its operation in terms of data correlation and system performance. Correlation coefficients between 0.889 (roll) and 0.991 (yaw) were obtained. Mean biases from −1.13° (roll) to 0.44° (yaw) and 95% limits of agreements from 2.87° (yaw) to 6.27° (roll) were calculated for the 1-min trials. Although low mean biases were achieved, some limitations arose in the system precision for pitch and roll estimations that could be due to the low sampling rate allowed by the sensor data fusion algorithm and the initial zeroing of the gyroscope.

scholarly journals Investigating Capnography Innovation for Better Patient Monitoring in the Resource Limited Surgical Setting

2018 ◽  
Vol 26 (1) ◽  
pp. 124-128 ◽  
Author(s):  
Maziar M. Nourian ◽  
Patrick Kolbay ◽  
Soeren Hoehne ◽  
Ahrash E. Poursaid ◽  
Ann E. Rowley ◽  
...  
Keyword(s):  
In Silico ◽  
Low Cost ◽  
Sampling Rate ◽  
Middle Income ◽  
Resource Limited ◽  
Industry Standards ◽  
Environmental Sensor ◽  
Available Technology ◽  
Surgical Setting ◽  
Lung Simulation

Background. Access to basic anesthetic monitoring in the developing world is lacking, which contributes to the 100 times greater anesthesia-related mortality in low- and middle-income countries. We hypothesize that an environmental sensor with a lower sampling rate could provide some clinical utility by providing CO2 levels, respiratory rate, and support in detection of clinical abnormalities. Materials and Methods. A bench-top lung simulation was created to replicate CO2 waveforms, and an environmental sensor was compared with industry-available technology. Sensor response time and respiratory rates were compared between devices. Additionally, an in silico model was created to replicate capnography pathology as waveforms would appear using the environmental sensor. Results and Conclusion. Breath simulations using the bench-top lung simulation produced similar results to industry standards with a degree of variability. Respiratory rates did not differ between the environmental sensor and all other devices tested. Finally, pathological waveforms created in silico carried a certain level of detail regarding ventilatory pathology, which could provide some clinical insight to an anesthesiologist. We believe our prototype is the first step toward making low-cost and portable capnography available in the resource-limited setting, and future efforts should focus on bridging the gap to safer anesthesia and surgery globally.

scholarly journals E-CONVERSE AN AFFORDABLE TOUCH SCREEN SOLUTION TO INTRIGUE DINING EXPERIENCE

2016 ◽  
pp. 21-25
Author(s):  
S. R. PATIL ◽  
SNEHAL SALUNKHE ◽  
NIKITA KULKARNI ◽  
PRIYANKA SAVANT
Keyword(s):  
Wireless Communication ◽  
Information And Communication Technologies ◽  
Low Cost ◽  
Communication Technologies ◽  
Touch Screen ◽  
Practical Implementation ◽  
Design And Implementation ◽  
Information And Communication ◽  
Basic Level

ample efforts have been taken in restaurant sector to intrigue the dining experience. Several information and communication technologies have been adopted earlier such as PDA; wireless communication technologies etc.These technologies provide a simple but powerful infrastructure. This paper highlights the limitations of the existing technologies and proposed the E-CONVERSE, which focuses on low cost touch-screen development to enhance the dining experience. In this paper we discuss the design and implementation of a low cost, customizable touch screen. To ensure the security of the system some security strategies are discussed. Basic level testing reveals that proposed system has potential for practical implementation and can overcome several drawbacks of existing system.

scholarly journals Practical Implementation of an Indoor Robot Localization and Identification System using an Array of Anchor Nodes

2020 ◽  
Vol 16 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Israa AL-Forati ◽  
Abdulmuttalib Rashid
Keyword(s):  
Search Algorithm ◽  
Low Cost ◽  
Binary Search ◽  
Practical Implementation ◽  
Identification System ◽  
Robot Localization ◽  
Light Emitting ◽  
The Matrix ◽  
Anchor Nodes ◽  
Binary Search Algorithm

This paper proposes a low-cost Light Emitting Diodes (LED) system with a novel arrangement that allows an indoor multi-robot localization. The proposed system uses only a matrix of low-cost LED installed uniformly on the ground of an environment and low-cost Light Dependent Resistor (LDR), each equipped on bottom of the robot for detection. The matrix of LEDs which are driven by a modified binary search algorithm are used as active beacons. The robot localizes itself based on the signals it receives from a group of neighbor LEDs. The minimum bounded circle algorithm is used to draw a virtual circle from the information collected from the neighbor LEDs and the center of this circle represents the robot’s location. The propose system is practically implemented on an environment with (16*16) matrix of LEDs. The experimental results show good performance in the localization process.

scholarly journals Compact Uniplanar Multi Feed Multi Band ACS Monopole Antenna Loaded With Multiple Radiating Branches for Portable Wireless Devices

2018 ◽  
Vol 7 (2) ◽  
pp. 68-75 ◽  
Author(s):  
P. N. Vummadisetty ◽  
A. Kumar
Keyword(s):  
Low Cost ◽  
Impedance Matching ◽  
Ground Plane ◽  
Wireless Devices ◽  
Research Article ◽  
Resonant Modes ◽  
Wireless Device ◽  
Printed Monopole ◽  
5 Ghz ◽  
Multi Band

This research article presents, a compact 0.19 λ x 0.32 λ size ACS fed printed monopole wideband antenna loaded with multiple radiating branches suitable for LTE2300/WiBro, 5 GHz WLAN and WiMAX applications. The proposed triple band uniplanar antenna encompasses of C shaped strip, L shaped strip, rectangular shaped strip and a lateral ground plane. All the radiating strips and ground plane are etched on the 26 × 15 m size low cost FR4 epoxy substrate. This designed geometry evoked three independent reonances at 2.3 GHz, 3.5 GHz and 5.5 GHz with precise impedance matching over each operating band. The reflection coefficient ( ) response of the presented antenna demonstrates three distinct resonant modes associated with -10 dB bandwidths are about 2.24-2.40 GHz, 3.38-3.83 GHz and 5.0-6.25 GHz respectively. From the study, it is also observed that the proposed design works perfect with microstrip as well as CPW feedings. Hence the designed Multi Feed Multi Band (MFMB) antenna can be easily deployed in to any portable wireless device that works for 2.3/3.5/ 5 GHz frequency bands.

The practical implementation of methanol as a clean and efficient alternative fuel for automotive vehicles

2018 ◽  
Vol 20 (3) ◽  
pp. 350-358 ◽  
Author(s):  
Harold Sun ◽  
Wesley Wang ◽  
Kim-Pui Koo
Keyword(s):  
Alternative Fuels ◽  
Gasoline Engine ◽  
Low Cost ◽  
Oxidation Catalyst ◽  
Automotive Application ◽  
Practical Implementation ◽  
Emission Standard ◽  
Gasoline Engines ◽  
Toxic Pollutant ◽  
Aldehyde Emission

Ever since the energy crises in 1970s, the methanol, among other alternative fuels, has been studied for automotive application. The methanol has been widely used for auto racing due to its superior anti-knock characteristics. However, aldehyde is a highly toxic pollutant and aldehyde emission out of alcohol fuel combustion could be considerably higher than spark-ignited gasoline engines. The corrosion and durability of methanol fuel components were also concerns for mass production of methanol-fueled vehicles. The authors have worked with an automotive manufacturer in China to investigate the brake thermal and emission improvement potentials of a methanol-fueled, spark-ignited engine over the original gasoline engine on a passenger car application and to demonstrate the performance and China V emission compliance over its useful life of 160,000 km. The study found that the methanol-fueled engine has 4%–6% brake thermal advantage over the original gasoline engine, and a three-way oxidation catalyst has successfully managed the tailpipe emissions under China V emission limit, consistently over the journey of 160,000 km. The test data show that the tailpipe aldehyde emission is actually reduced to a level that is below what is required by US LEV III emission standard, largely due to the three-way oxidation catalyst and the gasoline cold start assistance at the beginning of the transient emission cycle. This study indicates that methanol-fueled engine might be an attractive low-cost alternative for a more efficient and clean powertrain over conventional gasoline when a light-duty diesel engine faces challenges from future China VI emission regulations.

Laboratory Evaluation of Low-Cost Wearable Sensors for Measuring Head Impacts in Sports

2018 ◽  
Vol 34 (4) ◽  
pp. 320-326 ◽  
Author(s):  
Abigail M. Tyson ◽  
Stefan M. Duma ◽  
Steven Rowson
Keyword(s):  
Short Duration ◽  
Statistical Tests ◽  
Low Cost ◽  
Wearable Sensors ◽  
Sampling Rate ◽  
Sensor Technology ◽  
Laboratory Evaluation ◽  
Head Impacts ◽  
Hybrid Iii

Advances in low-cost wearable head impact sensor technology provide potential benefits regarding sports safety for both consumers and researchers. However, previous laboratory evaluations are not directly comparable and do not incorporate test conditions representative of unhelmeted impacts. This study addresses those limitations. The xPatch by X2 Biosystems and the SIM-G by Triax Technologies were placed on a National Operating Committee on Standards for Athletic Equipment (NOCSAE) headform with a Hybrid III neck which underwent impact tests using a pendulum. Impact conditions included helmeted, padded impactor to bare head, and rigid impactor to bare head to represent long- and short-duration impacts seen in helmeted and unhelmeted sports. The wearable sensors were evaluated on their kinematic accuracy by comparing results to reference sensors located at the headform center of gravity. Statistical tests for equivalence were performed on the slope of the linear regression between wearable sensors and reference. The xPatch gave equivalent measurements to the reference in select longer-duration impacts, whereas the SIM-G had large variance leading to no equivalence. For the short-duration impacts, both wearable sensors underpredicted the reference. This error can be improved with increases in sampling rate from 1 to 1.5 kHz. Follow-up evaluations should be performed on the field to identify error in vivo.

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