IoTrim

Making IoT device connections secure with privacy-preserving AI

Year

6

University

Imperial College London

URL

iotrim.github.io/

Twitter

@iotrim

Share this project

Market Need

The security and privacy of IoT devices is hard to control, making them vulnerable to attackers and malware. With 636 million people worldwide using IoTs in their home, the risk is palpable, as the team behind IoTrim discovered after substantial research.

Through extensive testing and research, the team found that the tools available right now simply don’t work as they should. Many are unreliable, don’t notify users of threats, can slow down the internet connection or even pose further risk from third-party services.

Solution

The team wanted to create a tool which anyone can use without needing specialist expertise. They created IoTrim to help monitor and block non-essential network activities, as well as identify device exposure and security threats, in an easy-to-use, ‘plug and play’ system.

Using privacy-preserving AI techniques, IoTrim builds insights and behavioural models, preventing violations of privacy by intercepting and blocking information exposure to third-party analytics and service providers. The solution uses unique methodology and can be built into the router itself.

Target Market

  • Internet service providers (ISPs)
  • Router manufacturers
  • VPN providers

Status & Needs

  • In contact with majors ISPs
  • Phase 2 will see PoC feasibility study
  • Seeking production expertise to optimise software
Close

Connect with Innovate UK Business Connect

Join Innovate UK Business Connect's mailing list to receive updates on funding opportunities, events and to access Innovate UK Business Connect's deep expertise. Please check your email to confirm your subscription and select your area(s) of interest.