Presentation is loading. Please wait.

Presentation is loading. Please wait.

Autonomous and Intelligent Healthcare System (SYSIASS) Activity 2 Progress April 2011 Part-financed by the European Regional Development Fund.

Similar presentations


Presentation on theme: "Autonomous and Intelligent Healthcare System (SYSIASS) Activity 2 Progress April 2011 Part-financed by the European Regional Development Fund."— Presentation transcript:

1 Autonomous and Intelligent Healthcare System (SYSIASS) Activity 2 Progress April 2011 Part-financed by the European Regional Development Fund

2 Overview Technology to address issues preventing remote healthcare Two major strands  FSS: Utilise wireless communications technology via Frequency Selective Surfaces  ICmetrics: Secure data via encryption based directly on system properties

3 Current Progress ICmetrics  Initial investigation commenced  Collaborative visit Essex-Kent FSS  General principles established One invited publication to date

4 ICmetric Encryption Encryption message cipher Key Conventional encryption system Encryption message cipher Key Key Generator ICmetric ICmetric encryption system

5 What exactly is the problem? Encryption  Symmetric key requires key storage and key exchange  Asymmetric encryption requires the private key to be stored in some fashion  Compromising the key compromises all systems protected by the key

6 So what is the proposal? Generate a unique identifying number directly from features associated with the circuits and software associated with the wheelchair Features are properties of a sample which can be used to distinguish it from peers A significant number of features are required as it is necessary for the basis to be sufficiently large to form a significant hurdle to a code- breaking attempt. Significantly:-  Features which vary may be employed

7 So how do you address the problem?  Normalise features using sample means and variances (or more generally distributions)  Feature quantisation: quantisation intervals dynamically determined by feature mean and variance  Feature correlations act against us: de-correlation strategy  Feature combination: weighted strategy employed  Redundant contribution: removing “common” components and “random noise” components  Key Generation: Use as basis for generating two primes (for e.g. RSA encryption)

8 Independent feature distribution Possible distribution of address data transaction for four different circuits (M1-M4).

9 Multi-Modal feature distributions common Two circuit system (C1,C2) for each of which one feature (F1) is measured.

10 Ideal Non-Ideal Keyspace Probability (P) But can you break the key? : Key Distribution

11 Summary Generate the encryption keys directly from the ICmetric sample Advantages of direct encryption  if key directly from a ICmetric sample:- Template of sample never stored (Private) key never stored  New sample required to decrypt (unless cipher broken)


Download ppt "Autonomous and Intelligent Healthcare System (SYSIASS) Activity 2 Progress April 2011 Part-financed by the European Regional Development Fund."

Similar presentations


Ads by Google