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
More filters
Journal ArticleDOI
Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework
TL;DR: This study compiles algorithms for different configurations to create common ground and proposes two new evaluation metrics, the detection score and the identification score, which together reliably present the performance of a network intrusion detection system to allow for practical comparison on a large scale.
Journal ArticleDOI
Clustering Categorical Data: A Survey
TL;DR: Experimental results show that rough set-based clustering methods provided better efficiency than hard and fuzzy methods and methods based on the initialization of the centroids also provided good results.
Journal ArticleDOI
An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks
TL;DR: In this paper, a theoretical model formulation of deep reinforcement learning is proposed for cooperative spectrum sensing in cognitive radio networks, which can overcome the limitations of traditional spectrum sensing methods, which are often prone to low sensing precision.
Journal ArticleDOI
Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis.
TL;DR: In this paper, the authors proposed a research strategy of diabetes risk data mining method based on electronic medical record analysis, including data mining and classification rule mining, which are used in the research experiment of diabetes RIS data mining.
Proceedings ArticleDOI
Providing Cyber Security using Artificial Intelligence – A survey
TL;DR: The need for the development of cybersecurity skills and how artificial intelligence can be implied to improve skills through the use of artificial neural networks and machine learning algorithms are introduced.
References
More filters
Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Related Papers (5)
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Robin Sommer,Vern Paxson +1 more