Journal ArticleDOI
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Anna L. Buczak,Erhan Guven +1 more
TLDR
The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/ DM for cyber security is presented, and some recommendations on when to use a given method are provided.Abstract:
This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of an emerging method, papers representing each method were identified, read, and summarized. Because data are so important in ML/DM approaches, some well-known cyber data sets used in ML/DM are described. The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/DM for cyber security is presented, and some recommendations on when to use a given method are provided.read more
Citations
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Journal ArticleDOI
A Machine Learning Security Framework for Iot Systems
TL;DR: A novel machine learning (ML) based security framework that automatically copes with the expanding security aspects related to IoT domain that leverages both Software Defined Networking (SDN) and Network Function Virtualization (NFV) enablers for mitigating different threats.
Journal ArticleDOI
An Effective Two-Step Intrusion Detection Approach Based on Binary Classification and $k$ -NN
TL;DR: Experimental results demonstrate that the proposed method outperforms baselines with respect to various evaluation criteria, and for U2R and R2L attacks, the F1-scores of the proposedmethod are much higher than those of baselines.
Book ChapterDOI
Machine Learning and Deep Learning Techniques for Cybersecurity: A Review
TL;DR: The datasets used in machine learning techniques, which are the primary tools for analyzing network traffic and detecting abnormalities, are highlighted and elaborate on the issues faced in using ML/DL for cybersecurity and offer recommendations for future studies.
Journal ArticleDOI
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges
TL;DR: In this article, the authors provide a comprehensive survey on various machine learning techniques applied to both communication and network parts in vehicular network and present several open issues and potential directions that are worthy of research for the future intelligent vehicular networks.
Journal ArticleDOI
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
Ansam Khraisat,Ammar Alazab +1 more
TL;DR: A comprehensive review of contemporary IoT IDS and an overview of techniques, deployment strategy, validation strategy, and datasets that are commonly applied for building IDS is presented in this article, where the authors also present the classification of IoT attacks and discuss future research challenges to counter such IoT attacks to make IoT more secure.
References
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