J. C. Bernal-Romero, J. Ramírez-Cortés, J. Rangel-Magdaleno
{"title":"Unbreakable Biometrics: How Physical Unclonable Functions are Revolutionizing Security","authors":"J. C. Bernal-Romero, J. Ramírez-Cortés, J. Rangel-Magdaleno","doi":"10.1109/MIM.2024.10472986","DOIUrl":null,"url":null,"abstract":"Nowadays, technological advancements have pushed the growth of cyber-physical ecosystems through wearable and smart devices in the interoperability of the Internet of Things (IoT), cloud computing, and information technology. All these IoT devices are designed to launch multiple services or applications that require identity management systems, i.e., user access control systems for services, applications, resources, or data. Furthermore, access control systems are based on pattern recognition systems, where patterns cannot be forgotten, swapped, counterfeited, lost, or stolen. Consequently, biometric systems present an excellent opportunity area for security, social acceptance, performance, and experience quality for users, because biometric traits are unique to each individual and persist throughout their lifetime, preventing swapping, loss, or forgetting. Nonetheless, some biometric traits are not secrets, i.e., some traits can be acquired without an individual's knowledge and consent, e.g., a person's face or voice in social media videos. At the same time, the development of artificial intelligence has facilitated identity swap, attribute manipulation, and realistic expression exchange through image, audio, or video synthesis techniques known as DeepFakes.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Instrumentation & Measurement Magazine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/MIM.2024.10472986","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Nowadays, technological advancements have pushed the growth of cyber-physical ecosystems through wearable and smart devices in the interoperability of the Internet of Things (IoT), cloud computing, and information technology. All these IoT devices are designed to launch multiple services or applications that require identity management systems, i.e., user access control systems for services, applications, resources, or data. Furthermore, access control systems are based on pattern recognition systems, where patterns cannot be forgotten, swapped, counterfeited, lost, or stolen. Consequently, biometric systems present an excellent opportunity area for security, social acceptance, performance, and experience quality for users, because biometric traits are unique to each individual and persist throughout their lifetime, preventing swapping, loss, or forgetting. Nonetheless, some biometric traits are not secrets, i.e., some traits can be acquired without an individual's knowledge and consent, e.g., a person's face or voice in social media videos. At the same time, the development of artificial intelligence has facilitated identity swap, attribute manipulation, and realistic expression exchange through image, audio, or video synthesis techniques known as DeepFakes.
期刊介绍:
IEEE Instrumentation & Measurement Magazine is a bimonthly publication. It publishes in February, April, June, August, October, and December of each year. The magazine covers a wide variety of topics in instrumentation, measurement, and systems that measure or instrument equipment or other systems. The magazine has the goal of providing readable introductions and overviews of technology in instrumentation and measurement to a wide engineering audience. It does this through articles, tutorials, columns, and departments. Its goal is to cross disciplines to encourage further research and development in instrumentation and measurement.