Author

Christopher Henshaw

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Preprint Aug 2026

From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs

Existing approaches to anomalous behaviour log detection, such as Wazuh rely primarily on predefined detection rules, while statistical anomaly detection approaches such as OpenSearch identify deviations from previously observed behavioural patterns. Recent research has investigated LLMs for log anomaly detection becau...

Christopher Henshaw, Gour C. Karmakar · 0 citations

Open access Sep 2026

Augmentation of Sentiment Analysis Models

Sentiment analysis is widely used to quantify the emotional tone of text. However, many pretrained sentiment models are only designed for short inputs and can struggle when applied to longer compilations of text or even full documents. These limitations are especially important when a continuous sentiment score range i...

Christopher Henshaw, Jared Byers, Alan J. Michaels · Electronics · 0 citations

Open access Sep 2026

Comparative Sentiment Analysis of Campaign and Third-Party Communications in the 2024 U.S. Elections

In an era defined by constant digital interaction, personal information is frequently collected, shared, and repurposed in ways that raise serious concerns about privacy and transparency. As part of a broader project, which investigates how individuals’ personal information is used, an experiment was designed to test h...

Christopher Henshaw, Jared Byers, Alan J. Michaels · Electronics · 1 citation