Threat detection and investigation with system-level provenance graphs: a survey

Z Li, QA Chen, R Yang, Y Chen, W Ruan - Computers & Security, 2021 - Elsevier
With the development of information technology, the border of the cyberspace gets much
broader and thus also exposes increasingly more vulnerabilities to attackers. Traditional …

Exploration of mobile device behavior for mitigating advanced persistent threats (APT): a systematic literature review and conceptual framework

T Jabar, M Mahinderjit Singh - Sensors, 2022 - mdpi.com
During the last several years, the Internet of Things (IoT), fog computing, computer security,
and cyber-attacks have all grown rapidly on a large scale. Examples of IoT include mobile …

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 …

{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 …

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 …

Deepaid: Interpreting and improving deep learning-based anomaly detection in security applications

D Han, Z Wang, W Chen, Y Zhong, S Wang… - Proceedings of the …, 2021 - dl.acm.org
Unsupervised Deep Learning (DL) techniques have been widely used in various security-
related anomaly detection applications, owing to the great promise of being able to detect …

[PDF][PDF] WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics.

J Zeng, ZL Chua, Y Chen, K Ji, Z Liang, J Mao - NDSS, 2021 - mimicji.github.io
Endpoint monitoring solutions are widely deployed in today's enterprise environments to
support advanced attack detection and investigation. These monitors continuously record …

Deepcase: Semi-supervised contextual analysis of security events

T Van Ede, H Aghakhani, N Spahn… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Security monitoring systems detect potentially malicious activities in IT infrastructures, by
either looking for known signatures or for anomalous behaviors. Security operators …

{PROGRAPHER}: An Anomaly Detection System based on Provenance Graph Embedding

F Yang, J Xu, C Xiong, Z Li, K Zhang - 32nd USENIX Security …, 2023 - usenix.org
In recent years, the Advanced Persistent Threat (APT), which involves complex and
malicious actions over a long period, has become one of the biggest threats against the …

Threatrace: Detecting and tracing host-based threats in node level through provenance graph learning

S Wang, Z Wang, T Zhou, H Sun, X Yin… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Host-based threats such as Program Attack, Malware Implantation, and Advanced Persistent
Threats (APT), are commonly adopted by modern attackers. Recent studies propose …