Provenance-based intrusion detection systems: A survey

M Zipperle, F Gottwalt, E Chang, T Dillon - ACM Computing Surveys, 2022 - dl.acm.org
Traditional Intrusion Detection Systems (IDS) cannot cope with the increasing number and
sophistication of cyberattacks such as Advanced Persistent Threats (APT). Due to their high …

Dealing with information overload: a comprehensive review

M Arnold, M Goldschmitt, T Rigotti - Frontiers in psychology, 2023 - frontiersin.org
Information overload is a problem that is being exacerbated by the ongoing digitalization of
the world of work and the growing use of information and communication technologies …

Unicorn: Runtime provenance-based detector for advanced persistent threats

X Han, T Pasquier, A Bates, J Mickens… - arxiv preprint arxiv …, 2020 - arxiv.org
Advanced Persistent Threats (APTs) are difficult to detect due to their" low-and-slow" attack
patterns and frequent use of zero-day exploits. We present UNICORN, an anomaly-based …

{ATLAS}: A sequence-based learning approach for attack investigation

A Alsaheel, Y Nan, S Ma, L Yu, G Walkup… - 30th USENIX security …, 2021 - usenix.org
Advanced Persistent Threats (APT) involve multiple attack steps over a long period, and
their investigation requires analysis of myriad logs to identify their attack steps, which are a …

Tactical provenance analysis for endpoint detection and response systems

WU Hassan, A Bates, D Marino - 2020 IEEE Symposium on …, 2020 - ieeexplore.ieee.org
Endpoint Detection and Response (EDR) tools provide visibility into sophisticated intrusions
by matching system events against known adversarial behaviors. However, current solutions …

Kairos: Practical intrusion detection and investigation using whole-system provenance

Z Cheng, Q Lv, J Liang, Y Wang, D Sun… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Provenance graphs are structured audit logs that describe the history of a system's
execution. Recent studies have explored a variety of techniques to analyze provenance …

[PDF][PDF] You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.

Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee… - NDSS, 2020 - kangkookjee.io
To subvert recent advances in perimeter and host security, the attacker community has
developed and employed various attack vectors to make a malware much stealthier than …

Shadewatcher: Recommendation-guided cyber threat analysis using system audit records

J Zengy, X Wang, J Liu, Y Chen, Z Liang… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
System auditing provides a low-level view into cyber threats by monitoring system entity
interactions. In response to advanced cyber-attacks, one prevalent solution is to apply data …

{MAGIC}: Detecting advanced persistent threats via masked graph representation learning

Z Jia, Y **ong, Y Nan, Y Zhang, J Zhao… - 33rd USENIX Security …, 2024 - usenix.org
Advance Persistent Threats (APTs), adopted by most delicate attackers, are becoming
increasing common and pose great threat to various enterprises and institutions. Data …

Poirot: Aligning attack behavior with kernel audit records for cyber threat hunting

SM Milajerdi, B Eshete, R Gjomemo… - Proceedings of the …, 2019 - dl.acm.org
Cyber threat intelligence (CTI) is being used to search for indicators of attacks that might
have compromised an enterprise network for a long time without being discovered. To have …