Malicious Package Detection using Metadata Information
Author:
Affiliation:
1. Data61, CSIRO & Charles Sturt University, Melbourne, Australia
2. Charles Sturt University, NSW, Australia
3. Data61, CSIRO, Melbourne, Australia
4. QUT, Brisbane, Australia
5. University of Adelaide, Adelaide, Australia
Funder
Cyber Security Research Centre Limited
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645543
Reference36 articles.
1. Simplifying the Search of npm Packages
2. Experimental Evaluation of a Multi-layer Feed-Forward Artificial Neural Network Classifier for Network Intrusion Detection System
3. Blake Barnes-Cook and Timothy O'Shea. 2022. Scalable Wireless Anomaly Detection with Generative-LSTMs on RF Post-Detection Metadata. In 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 483--488.
4. Jerome H Friedman. 2001. Greedy function approximation: a gradient boosting machine. Annals of statistics (2001), 1189--1232.
5. Detecting Suspicious Package Updates
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