Automated Email Analysis Framework
This paper details the development of an automated email analysis tool designed to streamline the extraction and analysis of key email artifacts, which includes URLs, email headers, IP addresses, and attachments. The tool aims to enhance the efficiency and accuracy of email analysis. Methodologically, this paper integrates existing tools for data extraction and analysis, supplemented with Natural Language Processing (NLP) techniques to discern the intent behind emails. Preliminary results indicate a significant improvement in response times for email analysis, demonstrating the tool's potential in accelerating and refining the process of email threat detection. This advancement not only contributes to the field of cybersecurity by providing a more efficient method for handling email-based threats but also sets a foundation for future enhancements in automated email analysis.
Funding
This research project is supported by an ignition grant with Grant No. R-IE2-A405-0002, Singapore Institute of Technology and Ministry of Education, Singapore.
History
Journal/Conference/Book title
The 10th IRC Conference on Science, Engineering and Technology (IRC-SET 2024)Publication date
2024-08-17Version
- Post-print
Rights statement
Shibao Hong, Vincent Yeow Chong Lim, Huaqun Guo. Automated Email Analysis Framework. The 10th IRC Conference on Science, Engineering and Technology (IRC-SET 2024), Singapore, 17 August 2023, Springer.Corresponding author
Huaqun Guo, huaqun.guo@singaporetech.edu.sgProject ID
- 11679 (R-IE2-A405-0002) Investigating Security Situation Awareness against Ransomware Attacks