SECONDS: Secure Connected Devices

Project: Research

Research areas and keywords

UKÄ subject classification

  • Computer Systems

Description

The IoT revolution has just started to take off and the IoT market is quickly increasing, giving us connected devices targeting e.g., wearables, cars, homes, cities, industry, transportation and healthcare. New business opportunities give rise to many new products and in order to be competitive, the manufacturer has to be efficient and implement a strategy that optimizes the time to market (TTM) and minimizes the price. This often means using existing open source software. When new vulnerabilities are found, it is crucial to efficiently determine the potential damage and to decide on a plan for patching the device. In this project we will develop a semiautomated and cost efficient decision support system for assessing the need for updating a device and the impact such an update will have on a device or system. Publicly available vulnerability information is often too general and can not immediately be applied to a device with a specific configuration operating in a specific environment. Taking these parameters into
account, a much more accurate and reliable assessment can be performed.
The decision support system will be integrated into an existing software management system and tested on real devices. Thus, the results can be evaluated in a real setting, ensuring that all practical parameters can be taken into account.
A viable solution to cost efficient updates for connected devices has a potential to increase the security in different parts of the society and the privacy of users. Considering the expected penetration of these devices, such a service has an almost unlimited potential.

Layman's description

The IoT revolution has just started and an increasing number of devices are used in a plethora of applications. With all these connected devices, we face an unprecedented security challenge. The project will develop cost-efficient support mechanisms for software patching in these devices.
StatusFinished
Effective start/end date2016/05/102018/11/15

Collaborative partners

  • Lund University (lead)
  • RISE SICS AB
  • Ericsson AB
  • Sensative AB
  • Axis communications AB
  • Advenica AB
  • Prevas AB
  • T2 Data AB

Participants

Related research output

Jonathan Sönnerup & Martin Hell, 2018, Proceedings of the 2018 International Conference on Security & Management. p. 79 85 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Pegah Nikbakht Bideh, Martin Höst & Martin Hell, 2018, Product-Focused Software Process Improvement. Springer Verlag, p. 81-97 16 p. ( Lecture Notes in Computer Science; vol. 11271).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Cobleigh, A., Martin Hell, Linus Karlsson, Reimer, O., Jonathan Sönnerup & Wisenhoff, D., 2018, IEEE 22nd International Enterprise Distributed Object Computing Workshop. IEEE--Institute of Electrical and Electronics Engineers Inc., 4 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

View all (4)

Related activities

Hell, M. (Role not specified)
2018 May 3

Activity: Talk or presentationInvited talk

View all (1)