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Automated Email Analysis Framework

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conference contribution
posted on 2024-09-28, 08:38 authored by Shibao Hong, Vincent Yeow Chong Lim, Huaqun GuoHuaqun Guo

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

2024-08-17

Version

  • 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.sg

Project ID

  • 11679 (R-IE2-A405-0002) Investigating Security Situation Awareness against Ransomware Attacks

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