{"title":"Securing MEMS Based Sensor Nodes in the Internet of Things","authors":"Hasan Tahir, Ruhma Tahir, K. Mcdonald-Maier","doi":"10.1109/EST.2015.8","DOIUrl":null,"url":null,"abstract":"Security schemes are rendered impractical if their cryptographic keys are compromised. ICMetric technology is an innovation in the field of cryptography that generates a device identification based on the inherent features of a device. Devices in the internet of things (IoT) are cyber physical systems with varying purpose and platforms. Since these devices are deeply entwined with the physical world, the chances of a security failure are higher. In this paper we suggest coupling the ICMetric technology and IoT. We prove that device identification can be generated by using the accelerometer found in many pervasive devices. Our experiments are based on a set of health sensors equipped with a MEMS accelerometer. Periodic readings are obtained from the sensor and analysed mathematically and statistically to generate a stable ICMetric number.","PeriodicalId":402244,"journal":{"name":"2015 Sixth International Conference on Emerging Security Technologies (EST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Sixth International Conference on Emerging Security Technologies (EST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2015.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Security schemes are rendered impractical if their cryptographic keys are compromised. ICMetric technology is an innovation in the field of cryptography that generates a device identification based on the inherent features of a device. Devices in the internet of things (IoT) are cyber physical systems with varying purpose and platforms. Since these devices are deeply entwined with the physical world, the chances of a security failure are higher. In this paper we suggest coupling the ICMetric technology and IoT. We prove that device identification can be generated by using the accelerometer found in many pervasive devices. Our experiments are based on a set of health sensors equipped with a MEMS accelerometer. Periodic readings are obtained from the sensor and analysed mathematically and statistically to generate a stable ICMetric number.