2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)最新文献

Two-Metric Helper Data for Highly Robust and Secure Delay PUFs 高鲁棒和安全延迟puf的双度量辅助数据

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791249

J. Danger, S. Guilley, Alexander Schaub

{"title":"Two-Metric Helper Data for Highly Robust and Secure Delay PUFs","authors":"J. Danger, S. Guilley, Alexander Schaub","doi":"10.1109/IWASI.2019.8791249","DOIUrl":"https://doi.org/10.1109/IWASI.2019.8791249","url":null,"abstract":"The Physically Unclonable Function (PUF) has become an inescapable security primitive, as it generates a fingerprint unique to each device, and is natively robust against reverse engineering attacks. However it suffers from many flaws due to a native lack of reliability and sensitivity against modeling and physical attacks. In the state-of-the-art, the enhancement of reliability involves the use of a helper data which takes advantage of Error-Correcting Codes (ECC), situated after the entropy source, thus increasing the overall PUF complexity and creating leakages exploited by Side Channel Attacks.This paper presents a new method to generate Helper Data, situated before the entropy source, which does not use ECC but still improves drastically the reliability of the PUF. It also provides high entropy and proven resistance against the attacks on the helper data. This method applies to \"strong\" delay PUFs used as master key generators, thus unsensitive to modeling attacks (the PUF responses are never disclosed). The validation has been done on real ASIC devices fabricated in CMOS 45 nm technology and shows that the reliability can be as low as 10−8 of Bit Error Rate.","PeriodicalId":330672,"journal":{"name":"2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Strategies to create a bridge between the University Research and Enterprise 建立大学研究与企业之间桥梁的策略

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791324

Caterina Meglio, A. Cammarano, M. E. Mercurio, L. Nicolais

引用次数: 0

Ultrasound Sensor for an Integrated Smart Spatial Exploration System 用于集成智能空间探测系统的超声传感器

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791349

V. D. Palma, Marco Passoni, F. Quaglia, Raffaele Angelo Di Vaio, F. Foncellino, Germano Villa, Davide Ruggiero, A. Matteo

引用次数: 0

Monitoring Proton Beam-induced Photodiode Degradation using Low-voltage Ring Oscillators 利用低压环形振荡器监测质子束诱导的光电二极管退化

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791279

H. Neitzert, G. Landi, F. Lang, J. Bundesmann, A. Denker, S. Keil, R. Thewes

引用次数: 0

Analysis of Label-Free Single-Molecule Biosensors based on Gate-Biofunctionalized Organic Transistors 基于栅极生物功能化有机晶体管的无标签单分子生物传感器分析

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791380

F. Torricelli, E. Macchia, K. Manoli, C. Franco, Z. Kovács-Vajna, G. Palazzo, G. Scamarcio, L. Torsi

{"title":"Analysis of Label-Free Single-Molecule Biosensors based on Gate-Biofunctionalized Organic Transistors","authors":"F. Torricelli, E. Macchia, K. Manoli, C. Franco, Z. Kovács-Vajna, G. Palazzo, G. Scamarcio, L. Torsi","doi":"10.1109/IWASI.2019.8791380","DOIUrl":"https://doi.org/10.1109/IWASI.2019.8791380","url":null,"abstract":"A label-free single-molecule detection platform based on biofunctionalized organic transistors has been recently proposed. In contrast to state-of-art approaches based on nano-transducers, the aforementioned single-molecule transistor (SiMoT) sensing technology is based on millimeter-sized transistors where the gate is bio-functionalized with about a trillion of antibodies. In this work we provide a detailed investigation of SiMoT biosensors by studying and quantifying the device parameters affected by the biorecognition event. The study combines both measurements and theoretical analyses, showing that a single protein detection taking place at nanometer scale affects a millimeter scale area of the biofunctionalized gate electrode. The dimension of the bioprobe domains affected by the binding is calculated as a function of the nominal protein concentration in the analyte solution. These results provide important insight into the SiMoT biosensor technology, which can guide the development of multi-modal SiMoT detection and integrated SiMoT biosensors arrays.","PeriodicalId":330672,"journal":{"name":"2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Capacitive and Optical Sensing for Automatic Detection and Characterization of Cleaning Sponges in Fiber Optic Microduct Installations 光纤微管道装置中清洁海绵的电容和光学传感自动检测和表征

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791315

Shazad Akram, Muhammad Farhan Alam, K. Bertilsson, J. Sidén

引用次数: 0

Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface 基于运动相关电位的脑机接口局部二值模式方法

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791266

G. Mezzina, D. Venuto

{"title":"Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface","authors":"G. Mezzina, D. Venuto","doi":"10.1109/IWASI.2019.8791266","DOIUrl":"https://doi.org/10.1109/IWASI.2019.8791266","url":null,"abstract":"This paper proposes the design and the implementation of an innovative algorithm for a 2-choices synchronous Brain-Computer Interface (BCI).The proposed BCI operates on signals from eight EEG channels evenly distributed along the sensorimotor area.The acquired EEGs are then analyzed by using a symbolization method. Typically, the symbolization includes data-analysis algorithms that translate physical processes from experimental measurements into a series of discrete symbols (e.g., bit strings). For the BCI application, the chosen symbolization algorithm is the Local Binary Pattern (LBP).Since the selected LBP method uses binary operations for the whole processing chain (end-to-end), the complexity and the computing timing of the features extraction (FE) and real-time classification stages have been strongly reduced.Finally, a time-continuous Support Vector Machine (tcSVM) classifies the LBP-extracted features.The here proposed BCI algorithm has been validated on 3 subjects (aged 26±1), who underwent a stimulation protocol oriented to Movement-Related Potentials (MRPs) elicitation. The in-vivo validation showed how the system is able to reach an intention recognition accuracy of 85.61 ± 1.19 %. In addition, starting from the complete data storage, the whole implemented computing chain asks, on average, for just ~3ms to provide the classification.As a proof of concept, the tcSVM outcomes have been used to drive, via Bluetooth, a 3D printed robotic hand.","PeriodicalId":330672,"journal":{"name":"2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122347183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Simulation Study of an Optimized Impedance Spectroscopy Approach for Gas Sensors 气体传感器阻抗谱优化方法的仿真研究

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791300

A. V. Radogna, S. D’Amico, S. Capone, L. Francioso

引用次数: 6

Semantic matchmaking as a way for attitude discovery 语义配对作为态度发现的一种方式

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791270

M. Ruta, F. Scioscia, S. Ieva, Giovanna Capurso, E. Sciascio

引用次数: 1

Low-noise, low-power, event-driven read-out of counting Pixel Array Detectors 低噪音，低功耗，事件驱动读出计数像素阵列探测器

2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2019-06-13 DOI: 10.1109/IWASI.2019.8791417

M. Hromalik, Kevin Burkey, T. Burns, Brian Lin, K. Shanks, P. Purohit, Hugh Philipps, M. Tate, S. Gruner

引用次数: 0