What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

Author:

Rahman Md Rayhanur1ORCID,Hezaveh Rezvan Mahdavi1ORCID,Williams Laurie1ORCID

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

Abstract

Cybersecurity researchers have contributed to the automated extraction of CTI from textual sources, such as threat reports and online articles describing cyberattack strategies, procedures, and tools. The goal of this article is to aid cybersecurity researchers in understanding the current techniques used for cyberthreat intelligence extraction from text through a survey of relevant studies in the literature. Our work finds 11 types of extraction purposes and 7 types of textual sources for CTI extraction. We observe the technical challenges associated with obtaining available clean and labeled data for replication, validation, and further extension of the studies. We advocate for building upon the current CTI extraction work to help cybersecurity practitioners with proactive decision-making such as in threat prioritization and mitigation strategy formulation to utilize knowledge from past cybersecurity incidents.

Funder

NSA Science of Security award

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference157 articles.

1. AZSecure Portal. Retrieved from www.azsecure-data.org.

2. Cambridge crime dataset. Retrieved from www.cambridgecybercrime.uk/.

3. Chainsmith. Retrieved from https://ioc-chainsmith org.

4. Cybersixgill. Retrieved from https://www.cybersixgill.com/.

5. Exploit Database. Retrieved from https://www.exploit-db.com/.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. VULDAT: Automated Vulnerability Detection from Cyberattack Text;Lecture Notes in Computer Science;2023

2. Current Challenges of Cyber Threat and Vulnerability Identification Using Public Enumerations;Proceedings of the 17th International Conference on Availability, Reliability and Security;2022-08-23

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