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Cyber Breach Research: Advisor Goh Jing Rong Published in Journal of Cybersecurity

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Cyber Breach Research: Advisor Goh Jing Rong Published in Journal of Cybersecurity​

Accredify’s Advisor Goh Jing Rong recently had his research paper “Predictive Taxonomy Analytics (LASSO): Predicting Outcome Types of Cyber Breach” published by the Journal of Cybersecurity– a top journal published by the Oxford University Press. The paper is co-written by Goh Jing Rong, Dr. Shaun S. Wang, Yaniv Harel and Gabriel Toh, and explores the utilisation of machine learning models and natural language processing techniques into a novel state-of-the-art general framework that is successful in predicting a variety of cybersecurity breaches.

The research was done to develop a unifying framework that uses readily available data to predict cybersecurity breaches, and provides a model that practitioners can use to assess their organisations’ cyber risk posture, potential gaps and vulnerabilities, with findings that support improved decision-making in cyber risk management and selecting relevant cybersecurity controls.

The paper also sheds light on the importance of verifiable data, as accurate information is key to generating actionable outputs and useful insights from the model.

Read the research paper here!