Search Results for author: Lianzhi Tan

Found 2 papers, 0 papers with code

Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling

no code implementations4 Jul 2019 Zi Long, Lianzhi Tan, Shengping Zhou, Chaoyang He, Xin Liu

Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an early stage.

Automatic Identification of Indicators of Compromise using Neural-Based Sequence Labelling

no code implementations PACLIC 2018 Shengping Zhou, Zi Long, Lianzhi Tan, Hao Guo

In this paper, we propose using a neural-based sequence labelling model to identify IOCs automatically from reports on cybersecurity without expert knowledge of cybersecurity.

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