Page 20 - bookofabstract_vj5_final(1)
P. 20
A Conceptual Scheme for Ransomware Background Knowledge Construction
Nurfadilah Ariffin, Anazida Zainal, Mohd Aizaini Maarof & Mohamad Nizam Kassim
Abstract
Various methods have been implemented to detect and mitigate malware. Ransomware
is one of the rising malware which getting attention from world due to its impact of attack
in the cyber space. Detection of potential features of Malware using traditional approach
and usage of text mining is nothing new. However, identifying the Ransomware related
entity from external sources and unstructured textual data like forum is new exposure
towards the application of text mining in malware domain. Therefore, in this paper, a
conceptual scheme is proposed to construct a Background Knowledge of Ransomware
which necessary to improve the accuracy of NER when classifying the Ransomware
related entity from unstructured data like online forum. From this work, the analysis
related to malware also could be understood by people who have no or less expertise in
Malware domain since it uses the casual text representation that are obtain from user-
generated content made publicly.
16
