Impact of AI on the Cyber Kill Chain: A Systematic Review

บทความในวารสาร


ผู้เขียน/บรรณาธิการ


กลุ่มสาขาการวิจัยเชิงกลยุทธ์


รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่งKazimierczak M., Habib N., Chan J.H., Thanapattheerakul T.

ผู้เผยแพร่Elsevier

ปีที่เผยแพร่ (ค.ศ.)2024

วารสารHeliyon (2405-8440)

Volume number10

Issue number24

หน้าแรก1

หน้าสุดท้าย21

จำนวนหน้า21

นอก2405-8440

eISSN2405-8440

URLhttps://api.elsevier.com/content/abstract/scopus_id/85211036231

ภาษาEnglish-United States (EN-US)


ดูบนเว็บไซต์ของสำนักพิมพ์


บทคัดย่อ

The Cyber Kill Chain (CKC) defense model aims to assist subject matter experts in planning, identifying, and executing against cyber intrusion activity, by outlining seven stages required for adversaries to execute an attack. Recent advancements in Artificial Intelligence (AI) have empowered adversaries to execute sophisticated attacks to exploit system vulnerabilities. As a result, it is essential to consider how AI-based tools change the cyber threat landscape and affect the current standard CKC model. Thus, this study examines and categorizes how attackers use AI-based tools, and offers potential defense mechanisms. We conducted a systematic literature review of 62 papers published between 2013 and 2023 from the Web of Science and Google Scholar databases. Our findings indicate that AI-based tools are used most effectively in the initial stages of cyberattacks. However, we find that current defense tools are not designed to counter these sophisticated attacks during these stages. Thus, we provide insights to 1) highlight the changing threat landscape due to AI and 2) to guide the development of cyber defense mechanisms.


คำสำคัญ

Adversarial AIAI-based cyber attacksArtificial intelligence in cybersecurityCyber attacksCyber kill chaincybersecurityIntrusion/anomaly detection and malware mitigationSoftware and application securitySystems security


อัพเดทล่าสุด 2025-05-01 ถึง 00:00