Securing the Timestamping of Sensor Data from Wearable Healthcare Devices
An ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, ECG, blood pressure, blood glucose, blood-oxygen saturation, etc., has the potent...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2016-12-01
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| Series: | EAI Endorsed Transactions on Internet of Things |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.28-9-2015.2261552 |
| _version_ | 1818144003083730944 |
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| author | Muhammad Siddiqi Gerard Hager Vijay Sivaraman Sanjay Jha |
| author_facet | Muhammad Siddiqi Gerard Hager Vijay Sivaraman Sanjay Jha |
| author_sort | Muhammad Siddiqi |
| collection | DOAJ |
| description | An ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, ECG, blood pressure, blood glucose, blood-oxygen saturation, etc., has the potential to alleviate the growing burden on hospitals. Timestamping data from such sensors accurately is important for correlating and reconstructing events of medical significance, and to increase trust in the context associated with the data. Unfortunately, reliable timestamping is non-trivial, and cannot be left entirely to the sensor device (too resource constrained), the gateway (can be tampered by user), or the datalog server (too far from the medical device). We tackle this problem to make three important contributions: (a) we demonstrate that the threat is real by showing how easy it is to tamper the timestamp on data from medically-approved devices on the market today; (b) we develop a novel solution to assure the reliability of the timestamp via a challenge mechanism whose cost-benefit trade-off can be customized; (c) we evaluate our solution via simulation to quantify the benefit as a function of the cost incurred. Our work presents a step towards increasing trust in the provenance, namely the meta-data, associated with the medical data. |
| first_indexed | 2024-12-11T11:40:39Z |
| format | Article |
| id | doaj.art-0ac536c3159b40e4ab415f0787d3a474 |
| institution | Directory Open Access Journal |
| issn | 2414-1399 |
| language | English |
| last_indexed | 2024-12-11T11:40:39Z |
| publishDate | 2016-12-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Internet of Things |
| spelling | doaj.art-0ac536c3159b40e4ab415f0787d3a4742022-12-22T01:08:37ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Internet of Things2414-13992016-12-012610.4108/eai.28-9-2015.2261552Securing the Timestamping of Sensor Data from Wearable Healthcare DevicesMuhammad Siddiqi0Gerard Hager1Vijay Sivaraman2Sanjay Jha3UNSW Sydney, AustraliaUNSW Sydney, AustraliaUNSW Sydney, AustraliaUNSW Sydney, AustraliaAn ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, ECG, blood pressure, blood glucose, blood-oxygen saturation, etc., has the potential to alleviate the growing burden on hospitals. Timestamping data from such sensors accurately is important for correlating and reconstructing events of medical significance, and to increase trust in the context associated with the data. Unfortunately, reliable timestamping is non-trivial, and cannot be left entirely to the sensor device (too resource constrained), the gateway (can be tampered by user), or the datalog server (too far from the medical device). We tackle this problem to make three important contributions: (a) we demonstrate that the threat is real by showing how easy it is to tamper the timestamp on data from medically-approved devices on the market today; (b) we develop a novel solution to assure the reliability of the timestamp via a challenge mechanism whose cost-benefit trade-off can be customized; (c) we evaluate our solution via simulation to quantify the benefit as a function of the cost incurred. Our work presents a step towards increasing trust in the provenance, namely the meta-data, associated with the medical data.https://eudl.eu/pdf/10.4108/eai.28-9-2015.2261552mhealth wearable provenance timestamp security |
| spellingShingle | Muhammad Siddiqi Gerard Hager Vijay Sivaraman Sanjay Jha Securing the Timestamping of Sensor Data from Wearable Healthcare Devices EAI Endorsed Transactions on Internet of Things mhealth wearable provenance timestamp security |
| title | Securing the Timestamping of Sensor Data from Wearable Healthcare Devices |
| title_full | Securing the Timestamping of Sensor Data from Wearable Healthcare Devices |
| title_fullStr | Securing the Timestamping of Sensor Data from Wearable Healthcare Devices |
| title_full_unstemmed | Securing the Timestamping of Sensor Data from Wearable Healthcare Devices |
| title_short | Securing the Timestamping of Sensor Data from Wearable Healthcare Devices |
| title_sort | securing the timestamping of sensor data from wearable healthcare devices |
| topic | mhealth wearable provenance timestamp security |
| url | https://eudl.eu/pdf/10.4108/eai.28-9-2015.2261552 |
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