ASSET - Adaptive Security for Smart Internet of Things in eHealth



About the ASSET Project

Emerging technologies for the Internet of Things (IoT) have the potential to provide many benefits to improve eHealth where the Things include smart phones, tablets, sensors, sensor nodes, and actuator nodes. The IoTs successful deployment depends on ensuring security and privacy, which need to adapt to their processing capabilities and resource use.

The primary objective of the ASSET project is to research and develop risk-based adaptive security methods and mechanisms for IoT in eHealth using game theory and context-awareness that increase security to an appropriate level. The security methods and mechanisms will adapt to dynamic changing conditions of IoT, including usability, threats, and diversity/heterogeneity.

The secondary objective is to increase understanding of, and thus ability to develop, interoperable techniques and algorithms which will predict and measure the risk of damages and future benefits and adapt their decisions upon those predictions.

ASSET's case study will lead to the design of adaptive strategies for the dynamic interplay between security and data transmission in a mobile patient monitoring system. This will use information of link quality, data transmission rate, and processing capabilities of sensor nodes and smart phones. The security adaptation will take into account the latency, energy consumption and reliability as quality of service (QoS) metrics. 

See the ASSET project website for more details.

QMUL Project Aims


The main aim is to research and develop innovative sensor based solutions to profile human mobility as part of a healthy life-style. Two based types of sensors are envisaged: a smartphone with an embedded sensor as a body mobility monitor and wearable body sensors that can act as part of a Body Area Network. The key requirements to support useful and usable human mobility profiling are mobility state classification, energy efficient sensing and security for the data acquired and exchanged for each human being profiled.


Project acronym: ASSET

Project full title: Adaptive Security for Smart Internet of Things in eHealth

Grant agreement no.: Grant agreement no: 213131/O70

Duration: from 1st January 2012 for 42 months

Funding: Research Council of Norway in the VERDIKT program (Grant agreement no: 213131/O70)

Project manager: Senior Research Scientist Habtamu Abie, Norwegian Computing Center


Research area: Security, eHealth

QMUL Achievements (to date)

QMUL is active in these WPs and tasks:


WP2: The main focus has been on the task, optimize algorithms for light-weight self-abilities focussing on the Public Transport Scenario (IV) and the Walking and Jogging Scenario (VI), see ASSET D6.1 Technical Note: Case study scenarios definition, Version 1. Such an optimization has two dimensions the optimization of the service interaction and the optimisation of the security for this service interaction. QMUL has focussed on optimising the former, specifically on energy efficient mobility profiling, via the use of an inertial sensor (accelerometer) in a mass-consumer mobile device, i.e., smart phone, used in a low-energy (normal) mode to reduce the energy consumption used by hybrid transceiver type sensors (GPS, GSM, Wi-Fi) for location detection.


WP3: The main focus has been on the task to develop innovative reasoning techniques to security metrics and contextual information. The main context has to been to determine the context in terms of the human location, the rate of change of location and the transportation mode via a smart phone and augmented with (foot) wearable sensors.

QMUL Participants

For participants in other organisations see

Publications (QMUL)

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