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Detecting, Explaining, and Auditing Account Hijacking in Cloud Audit Logs with a Fine-Tuned Small Language Model

https://doi.org/10.2139/ssrn.7051341
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-77322-3_5openalex-snapshot
A Survey of Insider Attack Detection Research
inferredcites →https://doi.org/10.1007/s10618-022-00831-6openalex-snapshot
Counterfactual explanations and how to find them: literature review and benchmarking
inferredcites →https://doi.org/10.1016/j.cose.2021.102221openalex-snapshot
Deep learning for insider threat detection: Review, challenges and opportunities
inferredcites →https://doi.org/10.1145/2689746.2689747openalex-snapshot
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1145/3303771openalex-snapshot
Insight Into Insiders and IT
inferredcites →https://doi.org/10.1145/335191.335388openalex-snapshot
LOF
inferredcites →https://doi.org/10.1145/357830.357849openalex-snapshot
The base-rate fallacy and the difficulty of intrusion detection
inferredcites →https://doi.org/10.1145/3660768openalex-snapshot
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques
inferredcites →https://doi.org/10.1145/3677119openalex-snapshot
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.1162/089976698300017197openalex-snapshot
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
inferredcites →https://doi.org/10.1162/coli_a_00486openalex-snapshot
Measuring Attribution in Natural Language Generation Models
inferredcites →https://doi.org/10.1371/journal.pone.0118432openalex-snapshot
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
inferredcites →https://doi.org/10.1609/aaai.v36i7.20680openalex-snapshot
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
inferredcites →https://doi.org/10.3389/fdata.2024.1375818openalex-snapshot
A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics
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