Journal ArticleDOI
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Anna L. Buczak,Erhan Guven +1 more
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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
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
TL;DR: The attack model for IoT systems is investigated, and the IoT security solutions based on machine-learning (ML) techniques including supervised learning, unsupervised learning, and reinforcement learning (RL) are reviewed.
Journal ArticleDOI
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Maria Stoyanova,Yannis Nikoloudakis,Spyridon Panagiotakis,Evangelos Pallis,Evangelos K. Markakis +4 more
TL;DR: The purpose of this paper is to identify and discuss the main issues involved in the complex process of IoT-based investigations, particularly all legal, privacy and cloud security challenges, as well as some promising cross-cutting data reduction and forensics intelligence techniques.
Journal ArticleDOI
An Overview on Application of Machine Learning Techniques in Optical Networks
Francesco Musumeci,Cristina Rottondi,Avishek Nag,Irene Macaluso,Darko Zibar,Marco Ruffini,Massimo Tornatore +6 more
TL;DR: An overview of the application of ML to optical communications and networking is provided, relevant literature is classified and surveyed, and an introductory tutorial on ML is provided for researchers and practitioners interested in this field.
Journal ArticleDOI
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges
TL;DR: This paper provides a comprehensive survey on the literature involving machine learning algorithms applied to SDN, from the perspective of traffic classification, routing optimization, quality of service/quality of experience prediction, resource management and security.
Journal ArticleDOI
A Survey of Network-based Intrusion Detection Data Sets
TL;DR: In this article, the authors provide a focused literature survey of data sets for network-based intrusion detection and describes the underlying packet-and flow-based network data in detail, identifying 15 different properties to assess the suitability of individual data sets.
References
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