Epic1028/APT-ProvenanceGraph

该资源是各种溯源图相关的论文和资源总结（含PPT），涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~

APT-ProvenanceGraph

该资源是各种溯源图相关的论文和资源总结，根目录为作者分享文章的PPT。涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~

推荐作者博客

• 基于溯源图的APT攻击检测安全顶会总结

目录

• 学术界
• 企业界

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学术界

Provenance Graph

【2016-2018】

Shiqing Ma, et al. ProTracer: Towards Practical Provenance Tracing by Alternating Between Logging and Tainting. NDSS 2016

• Paper: https://friends.cs.purdue.edu/pubs/NDSS16.pdf
• Contribution：
• Institution：Purdue University

Md Nahid Hossain, et al. SLEUTH Real-time Attack Scenario Reconstruction from COTS Audit Data. USENIX Sec 2017

• Paper: https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-hossain.pdf
• Contribution：
• Institution：Stony Brook University, University of Illinois at Chicago

Yushan Liu, et al. Towards a Timely Causality Analysis for Enterprise Security. PrioTracker, NDSS 2018

• Paper: https://www.princeton.edu/~pmittal/publications/priotracker-ndss18.pdf
• Contribution：
• Institution：Princeton University, Cornell University, NEC Labs America

Wajih Ul Hassan, et al. Towards Scalable Cluster Auditing through Grammatical Inference over Provenance Graphs. NDSS 2018

• Paper: https://whassan3.web.engr.illinois.edu/papers/hassan-ndss18.pdf
• Contribution：
• Institution：University of Illinois at Urbana-Champaign, Boston University, UNC Charlotte

Yang Ji, et al. Enabling Refinable Cross-Host Attack Investigation with Efficient Data Flow Tagging and Tracking. USENIX Sec 2018

• Paper: https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-ji.pdf
• Contribution：
• Institution：Georgia Institute of Technology

Thomas F. J.-M. Pasquier, et al. Runtime Analysis of Whole-System Provenance. CCS 2018

• Paper: https://dl.acm.org/doi/pdf/10.1145/3243734.3243776
• Contribution：
• Institution：University of Bristol, Harvard University, University of North Carolina at Charlotte, University of Illinois at Urbana-Champaign

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【2019】

Sadegh M. Milajerdi, et al. Poirot: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting. CCS 2019

• Paper: https://arxiv.org/pdf/1910.00056.pdf
• Contribution：
• Institution：University of Illinois at Chicago, University of Michigan-Dearborn

Sadegh M. Milajerdi, et al. HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows. IEEE S&P 2019

• Paper: https://arxiv.org/pdf/1810.01594.pdf
• Contribution：
• Institution：University of Illinois at Chicago, University of Michigan-Dearborn, Stony Brook University

Wajih Ul Hassan, et al. NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. NDSS 2019

• Paper: https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_03B-1-3_UlHassan_paper.pdf
• Contribution：
• Institution：University of Illinois at Urbana-Champaign, Virginia Tech, NEC Laboratories America

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【2020】

Wajih Ul Hassan, et al. Tactical Provenance Analysis for Endpoint Detection and Response Systems. RapSheet. IEEE S&P 2020

• Paper: https://ieeexplore.ieee.org/document/9152771
• Contribution：
• Institution：University of Illinois at Urbana-Champaign, NortonLifeLock Research Group

Xueyuan Han, et al. Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats. NDSS 2020

• Paper: https://arxiv.org/pdf/2001.01525.pdf
• Contribution：
• Institution：Harvard University, University of Bristol, University of Illinois at Urbana-Champaign, University of British Columbia

Qi Wang, et al. You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020

• Paper: https://www.ndss-symposium.org/wp-content/uploads/2020/02/24167-paper.pdf
• Contribution：
• Institution：University of Illinois Urbana-Champaign, NEC Laboratories America, University of Texas at Dallas

Riccardo Paccagnella, et al. Logging to the Danger Zone: Race Condition Attacks and Defenses on System Audit Frameworks. CCS 2020

• Paper: https://www.kevliao.com/publications/kennyloggings-ccs2020.pdf
• Contribution：
• Institution：University of Illinois at Urbana-Champaign, Purdue University

Wajih Ul Hassan, et al. OmegaLog: High-Fidelity Attack Investigation via Transparent Multi-layer Log Analysis. NDSS 2020

• Paper: https://www.ndss-symposium.org/wp-content/uploads/2020/02/24270-paper.pdf
• Contribution：
• Institution：University of Illinois at Urbana-Champaign

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【2021】

Abdulellah Alsaheel, et al. ATLAS: A Sequence-based Learning Approach for Attack Investigation. USENIX Sec 2021

• Paper: https://www.usenix.org/system/files/sec21-alsaheel.pdf
• Contribution：
• Institution：Purdue University

Carter Yagemann, et al. Validating the Integrity of Audit Logs Against Execution Repartitioning Attacks. CCS 2021

• Paper: https://dl.acm.org/doi/pdf/10.1145/3460120.3484551
• Contribution：
• Institution：Georgia Institute of Technology, University of Illinois Urbana-Champaign

Xutong Chen, et al. CLARION: Sound and Clear Provenance Tracking for Microservice Deployments. USENIX Sec 2021

• Paper: https://www.usenix.org/system/files/sec21-chen-xutong.pdf
• Contribution：
• Institution：Northwestern University, SRI International

Le Yu, et al. ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation. NDSS 2021

• Paper: https://www.ndss-symposium.org/wp-content/uploads/ndss2021_7A-2_24445_paper.pdf
• Contribution：
• Institution：Purdue University, Rutgers University, Sandia National Laboratories, SRI Internationa

Kiavash Satvat, et al. EXTRACTOR: Extracting Attack Behavior from Threat Reports. EuroS&P 2021

• Paper: https://arxiv.org/pdf/2104.08618.pdf
• Contribution：
• Institution：University of Illinois at Chicago

Zhenyuan Li, et al. Threat detection and investigation with system-level provenance graphs: A survey. C&S 2021

• Paper: https://www.sciencedirect.com/science/article/pii/S0167404821001061
• Contribution：
• Institution：Zhejiang University, University of California, Northwestern University

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Knowledge Graph

Jun Zhao, et al. Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network. RAID 2020

• Paper: https://www.usenix.org/system/files/raid20-zhao.pdf
• Contribution：
• Institution：Beihang University, Michigan State University

Yali Gao, et al. HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. IEEE TKDE 2020

• Paper: https://ieeexplore.ieee.org/document/9072563
• Contribution：
• Institution： Beijing University of Posts and Telecommunications, Beihang University, University of Illinois at Chicago

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企业界

• FireEye
• 卡巴斯基
• 绿盟：http://blog.nsfocus.net/tag/知识图谱/
• 作者博客

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By:Eastmount 2022-04-02