Effect Evaluation Method of IPv6 Address Prediction Based on AHP-CRITIC Combination Weighting

In response to the challenge of global IPv6 address scanning, many researchers have proposed IPv6 address prediction algorithms based on seed addresses. The effect evaluation of IPv6 address prediction can help evaluate the advantages and disadvantages of different algorithms and guide subsequent improvement directions. However, there is currently a lack of effective effect evaluation methods of IPv6 address prediction. An effect evaluation method of IPv6 address prediction based on analytic hierarchy process (AHP) and criteria importance though intercrieria correlation (CRITIC) combination weighting is proposed, which combines subjective and objective weighting, following the principle of index screening. The effect evaluation focused on 7 IPv6 address prediction algorithms, the evaluation results show that the HMap6 algorithm performed outstandingly in hit rates, generation rates, etc., verifying that this proposed method can objectively evaluate the abilities of IPv6 address prediction algorithms.