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AI^2: Training a Big Data Machine to Defend
Abstract
We present AI2, an analyst-in-the-loop security system where Analyst Intuition (AI) is put together with state-of-the-art machine learning to build a complete end-to-end Artificially Intelligent solution (AI). The system presents four key features: a big data behavioral analytics platform, an outlier detection system, a mechanism to obtain feedback from security analysts, and a supervised learning module. We validate our system with a real-world data set consisting of 3.6 billion log lines and 70.2 million entities. The results show that the system is capable of learning to defend against unseen attacks. With respect to unsupervised outlier analysis, our system improves the detection rate in 2.92× and reduces false positives by more than 5×.
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Cited by
Deep Learning for Anomaly Detection: A Survey
Chalapathy, R., & Chawla, S. (2019) · arXiv · doi:10.48550/arxiv.1901.03407 · Cited by 1,240
Cyber threat detection based on artificial neural networks using event profiles
Lee, J., Kim, J., Kim, I., & Han, K. (2019) · IEEE Access · doi:10.1109/access.2019.2953095 · Cited by 188
“As mentioned above, there are major limitations such as (1) the comparatively high level of analyst interaction required, (2) lack of labeled data, and (3) constantly evolving attacks [10], [14].”
BackgroundInfluentialInsider Threat Detection with Deep Neural Network
Yuan, F., Cao, Y., Shang, Y., Liu, Y., Tan, J., & Fang, B. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-93698-7_4 · Cited by 168
An Ontology-Based Cybersecurity Framework for the Internet of Things
Mozzaquatro, B. A., Agostinho, C., Goncalves, D., Martins, J., & Jardim-Goncalves, R. (2018) · Sensors · doi:10.3390/s18093053 · Cited by 129
Deep Learning Based Attribute Classification Insider Threat Detection for Data Security
Meng, F., Lou, F., Fu, Y., & Tian, Z. (2018) · 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC) · doi:10.1109/dsc.2018.00092 · Cited by 74
Metadata
- Authors
- Veeramachaneni, K., Arnaldo, I., Korrapati, V., Bassias, C., & Li, K.
- Venue
- 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS)
- Publisher
- IEEE
- Published
- 2016-04
- Pages
- 49-54
- OpenAlex
- W2466206609
- Cited by
- 245
- References
- 0
- FWCI
- 34.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Veeramachaneni, K., Arnaldo, I., Korrapati, V., Bassias, C., & Li, K. (2016). AI^2: Training a Big Data Machine to Defend. 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS). https://doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.79
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