Analysis of ICMetrics Features/Technology for Wearable Devices IOT Sensors
| Title | Analysis of ICMetrics Features/Technology for Wearable Devices IOT Sensors |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Yadav, S., Howells, G. |
| Conference Name | 2017 Seventh International Conference on Emerging Security Technologies (EST) |
| Date Published | sep |
| Keywords | Accelerometers, Apple Watch, authentication, cryptography, Encryption, encryption keys, feature extraction, Hardware, Human Behavior, ICMetric, ICmetrics, Internet of Things, IoT, IOT sensors, key generation, online services, privacy, pubcrawl, resilience, Resiliency, Scalability, security, Sensors, Software, Sports Activity Data, wearable computers, wearable devices, wearables security |
| Abstract | This paper investigates the suitability of employing various measurable features derived from multiple wearable devices (Apple Watch), for the generation of unique authentication and encryption keys related to the user. This technique is termed as ICMetrics. The ICMetrics technology requires identifying the suitable features in an environment for key generation most useful for online services. This paper presents an evaluation of the feasibility of identifying a unique user based on desirable feature set and activity data collected over short and long term and explores how the number of samples being factored into the ICMetrics system affects uniqueness of the key. |
| URL | https://ieeexplore.ieee.org/document/8090419/ |
| DOI | 10.1109/EST.2017.8090419 |
| Citation Key | yadav_analysis_2017 |
- key generation
- wearables security
- Wearable devices
- wearable computers
- Sports Activity Data
- Software
- sensors
- security
- Scalability
- Resiliency
- resilience
- pubcrawl
- privacy
- online services
- Accelerometers
- IOT sensors
- IoT
- Internet of Things
- ICmetrics
- ICMetric
- Human behavior
- Hardware
- feature extraction
- encryption keys
- encryption
- Cryptography
- authentication
- Apple Watch