Abstract:

In order to overcome the disadvantages of traditional subjective and objective weighting methods in index system of distributed denial of service (DDoS) attack effect evaluation and improve the assessment accuracy, this paper proposes a new integrated evaluation method called TOPSIS-GRA based on the idea of ensemble learning, in which fuzzy-analytic hierarchy process (FAHP) is combined with entropy weight method to calculate the index weight, and technique for order preference by similarity to ideal solution (TOPSIS) is integrated with grey relational analysis (GRA) model to perform the evaluation calculation. With the immaturity research of DDoS attack effect evaluation, this paper proposes a complete feasible evaluation process including index system, combination weighting and TOPSIS-GRA integrated evaluation method. Experimental results show that the TOPSIS-GRA integrated evaluation method has strong applicability for DDoS attack effect assessment, and the evaluation result is objective and reliable.

Key words: DDoS, attack effect evaluation, combination weighting, TOPSIS-GRA integrated evaluation method