Distinctiveness. Our first experiment was to determine if the keys generated by the EKA scheme are distinctive for different people, i.e. produced identical keys at the same subject and divergent keys between two different subjects. Data from one lead was used to generate KeyA, and another to generate KeyB. For forcing a 124 bit key. The keys agreed upon through EKA meet our design goal of distinctive.
Distinctiveness. Regis St. Michael’s shall be treated as a distinct Federation of Regis and USMC, for which separate accounting, books and records and operational aspects shall be maintained, distinct from other divisions within Regis and USMC.
Distinctiveness. We embrace, encourage and celebrate the uniqueness of each of our schools, recognising the context of the community that it serves and the curriculum that it offers to meet those needs. For our communities, we collectively empower excellence.
Distinctiveness. Where any provision or part of this Agreement is considered illegal, invalid or unenacterated, such provision shall be deemed to be wounded and removed from this Agreement to the same extent and effect as if it had never been incorporated into this Agreement. All other provisions of this Agreement and any remaining part of those provisions which have not been found to be partially illegal, invalid or unenhabitable shall remain in force. 15.2.
Distinctiveness. In order to measure the distinctiveness, we calculate the percentage of Hamming Distance values between all iriscodes. The optimum value for this percentage is 50% since both full distinctiveness and full indistinctive- ness give the same amount of information to the attacker. Percentage of average Hamming Distance value between all users’ iriscodes is calculated as 49.37%, which is quite close to the optimal value of 50%. However, due to the fact that not all blocks are used in the key generation process, we need to define another metric for measuring the distinctiveness of the keys, which is called key-block distinctiveness index. General idea here is that each block used in agreed keys is − compared with all the blocks of all other users’ iriscodes. In each comparison, the number of different bits in correspondent positions are calculated and normalized to 100. In regard to distinctiveness, x bit difference has the same effect as 384 x bit difference. Therefore, we need to consider the worst-case scenario, while calculating the distinctiveness. Each calculated value which is greater than 384/2 is subtracted from 384 and normalized. After the normalization, the minimum value is selected for each block, because the minimum difference is identical to the minimum distinctiveness which is the worst- case scenario. For each key blocks, the average of minimum key-block distinctiveness indices is calculated for each user. The average key-block distinctiveness index value of the system is found as 74.61%. As a result, we conclude that after each protocol run of each user, a different key is generated.
