A Methodology for Calculating the Impact of Malicious Resources by PageRank
Seulgi Lee, Hyeisun Cho, Byungik Kim, Youngsang Shin, Taijin Lee · 2015
Currently, we are faced with a major problem concerning the use of malicious codes in hacking attacks, which is becoming increasingly intelligent. We became curious about the major factors behind the cyber incident, which prompted us to conduct research about the weighted value of resources that are used to commit malicious acts. The major approach of this paper consists in calculating the weighted value based on the total amount of information collected from various channels. The weighted value based on the PageRank algorithm is the outcome of complex arithmetic operations about correlations among resources. This study proposes a methodology for calculating a malicious citation index using Googles' PageRank algorithm, such as replacing PageRank's link with a correlation.