Devising Malware Characterstics using Transformers

2020/05/23 by Simra Shahid, Shahid, Simra, Tanmay Singh +5
Computer Science · #Advanced Malware Detection Techniques #Digital and Cyber Forensics #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Network Security and Intrusion Detection

paper · pdf · doi:10.48550/arxiv.2005.12978

openalex publication_date 2020/05/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Citations

• Distributed Representations of Words and Phrases and their Compositionality

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