Devising Malware Characterstics using Transformers
This addresses the challenge for cybersecurity researchers in efficiently analyzing malware reports, but it is incremental as it adapts an existing method to a new domain.
The paper tackled the problem of extracting relevant malware behavior mentions from Advanced Persistent Threat Reports to avoid reading entire reports, and the result was an initial attempt to apply Transformer models for this malware analysis task.
With the increasing number of cybersecurity threats, it becomes more difficult for researchers to skim through the security reports for malware analysis. There is a need to be able to extract highly relevant sentences without having to read through the entire malware reports. In this paper, we are finding relevant malware behavior mentions from Advanced Persistent Threat Reports. This main contribution is an opening attempt to Transformer the approach for malware behavior analysis.