A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends
Shakhzod Yuldoshkhujaev, Mijin Jeon, Doowon Kim, Nick Nikiforakis, Hyungjoon Koo
摘要
An advanced persistent threat (APT) refers to a covert and long-term cyberattack, typically conducted by state-sponsored actors, targeting critical sectors and often remaining undetected for long periods. In response, collective intelligence from around the globe collaborates to identify and trace surreptitious activities, generating substantial documentation on APT campaigns publicly available on the web. While a multitude of prior works predominantly focus on specific aspects of APT cases, such as detection, evaluation, cyber threat intelligence, and dataset creation, limited attention has been devoted to revisiting and investigating these scattered dossiers in a longitudinal manner.
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它引用的顶会 Paper7
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- HOLMES: Real-Time APT Detection through Correlation of Suspicious Information FlowsSadegh Momeni Milajerdi, Rigel Gjomemo, Birhanu Eshete, R. Sekar 等S&P 2019 · 被引用 550 次
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- MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation LearningZian Jia, Yun Xiong, Yuhong Nan, Yao Zhang 等USENIX Security 2024 · 被引用 92 次
- ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph SearchEnes Altinisik, Fatih Deniz, Hüsrev Taha SencarCCS 2023 · 被引用 32 次
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