Almost like watching an episode of MacGyver, Professor Gareth Howells, Professor of Secure Electronic Systems at the University of Kent, UK and Founder and Director of Metrarc Ltd described a very sophisticated cyber platform and described how components of any system can be broken down using mathematical understanding.
Once the variables of digital features are known ( my favourite was the pulsing of an antenna signal to identify antenna variations ) normalisation and calibration are the vital next step to help baseline digital device activity. This involves analysing device features in different dimensions to create a baseline of default behaviour. It’s this behaviour that is further mapped to eventually allow authentication to occur. A typical smart device can go through many changes and the system described by Gareth factors in these changes to help the authentication process - essentially his platform allows devices to self-authenticate. This talk was a very good example of science at its best - demonstrating how any technology component can be broken down to have its own unique feature set used for device authentication.
Analysing human behaviours as feature sets has many uses, especially for real time authentication, and its mention resonated with the 2012 IET Pinkerton Lecture that took place in Bangalore India at the Infosys Campus, where, Professor Kevin Warwick discussed how neural implants will eventually take direction from biological brains to control technology.
Speaking to Gareth, we talked about how the digital sound of a device can also be used as a mechanism for self-authentication ( sonification ). In today’s context, the ability for self-authentication to occur for any IoT device will without a doubt be welcomed by any consumer to help streamline the real-time use of the IoT device. This was a very sophisticated talk on how a scientific approach to cryptography can help current systems move into the realms on self-authentication.
More details on ICMetrics can be found here.
My previous blog post on Sonification can be found here.
Details on the 2012 Pinkerton Lecture can be found here.
Once the variables of digital features are known ( my favourite was the pulsing of an antenna signal to identify antenna variations ) normalisation and calibration are the vital next step to help baseline digital device activity. This involves analysing device features in different dimensions to create a baseline of default behaviour. It’s this behaviour that is further mapped to eventually allow authentication to occur. A typical smart device can go through many changes and the system described by Gareth factors in these changes to help the authentication process - essentially his platform allows devices to self-authenticate. This talk was a very good example of science at its best - demonstrating how any technology component can be broken down to have its own unique feature set used for device authentication.
Analysing human behaviours as feature sets has many uses, especially for real time authentication, and its mention resonated with the 2012 IET Pinkerton Lecture that took place in Bangalore India at the Infosys Campus, where, Professor Kevin Warwick discussed how neural implants will eventually take direction from biological brains to control technology.
Speaking to Gareth, we talked about how the digital sound of a device can also be used as a mechanism for self-authentication ( sonification ). In today’s context, the ability for self-authentication to occur for any IoT device will without a doubt be welcomed by any consumer to help streamline the real-time use of the IoT device. This was a very sophisticated talk on how a scientific approach to cryptography can help current systems move into the realms on self-authentication.
More details on ICMetrics can be found here.
My previous blog post on Sonification can be found here.
Details on the 2012 Pinkerton Lecture can be found here.