期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：5
页码：297-308
DOI：10.14257/ijsia.2016.10.5.28
出版社：SERSC
摘要：The increasing amount of cyber crimes has motivated network forensics researchers to develop new techniques to analyze and investigate these crimes. Reconstructing useful evidence of a cybercrime is difficult due to the vagueness of the analysis phase processes. The analysis phase is challenging because it provides detailed information on the intention and strategy of the attack. This paper aims to show the importance of reconstructing attack intentions in order to improve the analysis phase in network forensics. Intentions are identified through an algorithm called Attack Intention Analysis, which predicts cyber crime intentions by combining mathematical evidence theory and a probabilistic technique. In this paper, the attack intention model will be improved to present the motivation behind cyber crimes. The results of the comparison of the attack intention analysis methods prove that the AIA algorithm is more accurate.
