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
An Efficient Spam Detection Technique for IoT Devices Using Machine Learning
TL;DR: The security of the IoT devices by detecting spam using ML is proposed using a framework of five ML models evaluated using various metrics with a large collection of inputs features sets to achieve this objective.
Journal ArticleDOI
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
TL;DR: This survey paper discusses opportunities and threats of using artificial intelligence (AI) technology in the manufacturing sector with consideration for offensive and defensive uses of such technology, and presents the major strengths and weaknesses of the main techniques in use.
Journal ArticleDOI
SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection
Neelu Khare,Preethi Devan,Chiranji Lal Chowdhary,Sweta Bhattacharya,Geeta Singh,Saurabh Singh,Byungun Yoon +6 more
TL;DR: A spider monkey optimization (SMO) based DNN model was compared with principal component analysis (PCA)-based DNN and the classical DNN models, wherein the results justified the advantage of implementing the proposed model over other approaches.
Journal ArticleDOI
Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch
TL;DR: A novel Chinese Remainder Theorem based Reversible Sketch (CRT-RS) is designed and a Modified Multi-chart Cumulative Sum (MM-CUSUM) algorithm that supports self-adaptive and protocol independent detection to detect DDoS flooding attacks is proposed.
Journal ArticleDOI
A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning
Bo Ma,Weisi Guo,Jie Zhang +2 more
TL;DR: This survey couples the potential of online big data analytics, cloud-edge computing, statistical machine learning, and proactive network optimisation in a common cross-layer wireless framework to better cross-fertilise the academic fields of data Analytics, mobile edge computing, AI, CPSS, and wireless communications.
References
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