Data Mining and Machine Learning in Cybersecurity

By Sumeet Dua, Xian Du. 2011

380 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/2a4ba0c1699965381fb2ba802157a89edd217943

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In Computer Networks and Communications

Citations in the corpus

A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, background): “ML algorithms build models based on training data, which allow the models to make predictions (or decisions) about new data without being explicitly instructed on how to do so [188], [189].”
Cybersecurity data science: an overview from machine learning perspective (2020, background): “Thus, machine learning models typically comprise of a set of rules, methods, or complex “transfer functions” that can be applied to ﬁnd interesting data patterns, or to recognize or predict behavior [84], which could play an important role in the area of cybersecurity.”
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges (2021, background): “Machine learning models comprise of a set of rules, methods, or complex “ transfer functions ” that can be applied to find interesting data patterns or to recognise or predict behaviour (Dua & Du, 2016).”
Malicious URL Detection using Machine Learning: A Survey (2017, background): “fy the limitations of the current models [162], and provide directions for future research. 7 RELATED SURVEYS Recent years have witnessed innovative applications of machine learning in cyber security [26, 52, 164]. They discuss a variety of other cyber threats, and do not focus on Malicious URL Dete”
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks (2019, methodology): “IDS are categorized into signature-based and anomalybased detection based on their technique in detecting an intrusion [12].”
Survey of intrusion detection systems: techniques, datasets and challenges (2019, background): “Machine learning models comprise of a set of rules, methods, or complex “ transfer functions ” that can be applied to find interesting data patterns, or to recognise or predict behaviour (Dua & Du, 2016).”
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems (2022, background): “ML models are often made up of a set of rules, procedures, or sophisticated “transfer functions” that can be used to discover interesting data patterns or anticipate behavior [23].”
Cybersecurity for industrial control systems: A survey (2020, methodology): “Dua and Du [31] propose data mining-based machine learning techniques for cybersecurity in SCADA systems.”
A Systematic Review on Imbalanced Data Challenges in Machine Learning (2019, background): “Dua and Du (2016) is a cyber-security-oriented data-mining reference for imbalanced data and anomaly detection.”
Review: machine learning techniques applied to cybersecurity (2019, background): “Applications of this kind of models are very large ([46] and its references).”