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
Trust-based Authentication for Smart Home Systems
TL;DR: The evaluation shows that the proposed new trust-based authentication scheme can significantly reduce the authentication failure in jamming attacks, increase the detection probability of cloning attacks, and improve the authentication efficiency to manage the authentication delay in a reasonable time.
Journal ArticleDOI
Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs)
Syed Khurram Rizvi,Syed Khurram Rizvi,Muhammad Ajmal Azad,Muhammad Moazam Fraz,Muhammad Moazam Fraz +4 more
TL;DR: In this article, a survey of GAN applications in various practical domain and their implementation challenges its associated advantages and disadvantages have been discussed and several diversified prominent developing trends in the respective research domain which will provide a visionary perspective regarding ongoing GAN related research and eventually help to develop an intuition for problem solving using GAN.
Journal ArticleDOI
Datasets are not enough: Challenges in labeling network traffic
TL;DR: In this paper , the authors focused on the analysis of current labeling methodologies applied to network-based data and found that most of the current traffic labeling methods are based on the automatic generation of synthetic network traces, which hides many of the essential aspects necessary for a correct differentiation between normal and malicious behavior.
Posted ContentDOI
Extending Signature-based Intrusion Detection Systems With Bayesian Abductive Reasoning
TL;DR: This research is being conducted in the UMBC Accelerated Cognitive Computing Lab (ACCL) that is supported in part by a gift from IBM Research, and the authors thank the other members of the ACCL Lab for their input.
Book ChapterDOI
Applications of Machine Learning in Cyber Security Domain
Sailesh Iyer,Sridaran Rajagopal +1 more
TL;DR: This chapter discusses the concept of machine learning, cyber security, cybercrime, and applications of machineLearning in cyber security domain and the future trends and directions in machine learning and cyber security.
References
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