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https://github.com/oasiszrz/awesome-AISecOps

This repository contains a curated list of awesome resources related to AISecOps.
https://github.com/oasiszrz/awesome-AISecOps

List: awesome-AISecOps

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This repository contains a curated list of awesome resources related to AISecOps.

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# awesome-AISecOps

AISecOps is an interdiscipline of SecOps (Security Operations), AISec (AI for Security) and AIOps (AI for IT Operations) technologies. This repository contains a curated list of awesome resources related to AISecOps, enjoy it!



- [Table of Contents](#awesome-aisecops)

    - [SecOps](#secops)

        - [Papers on SecOps](#papers-on-secops)

        - [Reports and Presentations on SecOps](#reports-and-presentations-on-secops)

            - [Surveys](#surveys)

            - [Metrics](#metrics)

        - [Frameworks for SecOps](#frameworks-for-secops)

        - [Blogs on SecOps](#blogs-on-secops)

    - [AISec](#aISec)

        - [Papers on AISec](#papers-on-aisec)

            - [Reviews](#reviews)

            - [Network Traffic Analysis](#network-traffic-analysis)

            - [Anomaly Detection](#anomaly-detection)

            - [Community Detection](#community-detection)

        - [Tools for AISec](#tools-for-aisec)

        - [Awesome projects on AISec](#awesome-projects-on-aisec)

    - [AIOps](#aiops)

        - [Papers on AIOps](#papers-on-aiops)

        - [Researchers and Teams on AIOps](#researchers-and-teams-on-aiops)

        - [Awesome projects on AIOps](#awesome-projects-on-aiops)



---



## SecOps

* ### Papers on SecOps

    * [Matched and Mismatched SOCs: A Qualitative Study on Security Operations Center Issues, CCS 2019](https://dl.acm.org/doi/10.1145/3319535.3354239) 

    * [99% false positives: A qualitative study of SOC analysts' perspectives on security alarms, USENIX 2022](https://www.usenix.org/system/files/sec22summer_alahmadi.pdf)

    * [Security Operations Center: A Systematic Study and Open Challenges, IEEE ACCESS 2020](https://ieeexplore.ieee.org/iel7/6287639/8948470/09296846.pdf)



* ### Reports and Presentations on SecOps

    * #### Surveys

        * [SANS 2021 Automation and Integration Survey](https://www.sans.org/white-papers/sans-2021-automation-integration-survey-first-we-walked-now-we-run-but-should-we/)

        * [Hype Cycle for Security Operations 2021](https://www.gartner.com/en/doc/security-operations)

    * #### Metrics

        * [Your Metrics Suck!5 SecOps Metrics That Are Better Than MTTR, RSA 2021](https://www.rsaconference.com/Library/presentation/USA/2021/your-metrics-suck-5-secops-metrics-that-are-better-than-mttr)

* ### Frameworks for SecOps

    * [ATT&CK](https://attack.mitre.org/): tactic and technique modeling on adversarial behaviors.

    * [ENGAGE](https://engage.mitre.org/): a framework for discussing and planning adversary engagement, deception, and denial activities.

    * [IACD](https://www.iacdautomate.org/): a framework facilitate the integration, automation, orchestration and sharing of machine-readable cyber threat information.

    * [CARTA](https://www.gartner.com/teamsiteanalytics/servePDF?g=/imagesrv/media-products/pdf/Forcepoint/Forcepoint-1-4YCDU8P.pdf): the Continuous Adaptive Risk and Trust Assessment framework for enterprise level risk and trust management.

* ### Blogs on SecOps

    * [ATT&CK News](https://medium.com/mitre-attack)



## AISec

* ### Papers on AISec

    * #### Reviews

        * [Dos and Don'ts of Machine Learning in Computer Security, USENIX 2022](https://arxiv.org/pdf/2010.09470)

    * #### Network Traffic Analysis

        * [HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection, IEEE ACCESS](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8171733)

        * [Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks, IJCAI 2019](https://www.ijcai.org/proceedings/2019/0656.pdf)

    * #### Anomaly Detection

        * [DeepLog: Anomaly Detection and Diagnosis from System Logs Through Deep Learning, CCS 2017](https://www.cs.utah.edu/~lifeifei/papers/deeplog.pdf)

        * [Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection, NDSS 2018](https://arxiv.org/pdf/1802.09089)

    * #### Community Detection

        * [HERCULE: Attack Story Reconstruction via Community Discovery on Correlated Log Graph, ACSAC 2016](https://www.cs.purdue.edu/homes/dxu/pubs/HERCULE.pdf)



* ### Tools for AISec

    * [DeepTraffic](https://github.com/echowei/DeepTraffic): deep learning demo for network traffic analysis.



* ### Awesome projects on AISec

    * [Awesome Machine Learning for Cyber Security](https://github.com/jivoi/awesome-ml-for-cybersecurity)

    * [Machine Learning for Cyber Security](https://github.com/wtsxDev/Machine-Learning-for-Cyber-Security)



## AIOps

* ### Papers on AIOps

    * [Automatically and Adaptively Identifying Severe Alerts for Online Service Systems, INFOCOM 2020](https://netman.aiops.org/wp-content/uploads/2020/07/alertrank_camera-ready.pdf)

    * [Understanding and Handling Alert Storm for Online Service Systems, ICSE 2020](https://netman.aiops.org/wp-content/uploads/2020/07/SEIP20_pre.pdf)

    * [Real-Time Incident Prediction for Online Service Systems, ESEC 2020](https://netman.aiops.org/wp-content/uploads/2020/12/%E8%B5%B5%E8%83%BD%E6%96%87eWarn_long.pdf)



* ### Researchers and Teams on AIOps

    * [TSINGHUA NETMAN LAB](https://netman.aiops.org/)



* ### Awesome projects on AIOps

    * [Awesome AIOps](https://github.com/linjinjin123/awesome-AIOps)