DATA MINING AND MACHINE LEARNING TECHNIQUES TO DETECT INTRUSION INTO CYBER SECURITY OF ROBOTIC SYSTEMS
DOI:
https://doi.org/10.30888/2415-7538.2018-11-01-055Keywords:
Cybersecurity, Robotic Systems, Data Mining, Hadoop, Machine Learning Techniques, Intrusion DetectionAbstract
In the article the method of parallel computing on the basis of Hadoop software for detecting the invasion of cyber security of robotic systems is proposed.Metrics
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References
M. Nikhil Kumar, K.V.S. Koushik, K. John Sundar (2018). Data Mining and Machine Learning Techniques for Cyber Security Intrusion Detection
D.ASIR ANTONY GNANA SINGH, E.JEBAMALAR LEAVLINE (2013) Data mining in network security - techniques & tools: a research perspective
Priya James (2018) Protecting Big Data with Hadoop: A Cyber Security Protection Guide
M. Nikhil Kumar, K.V.S. Koushik, K. John Sundar (2018). Data Mining and Machine Learning Techniques for Cyber Security Intrusion Detection
D.ASIR ANTONY GNANA SINGH, E.JEBAMALAR LEAVLINE (2013) Data mining in network security - techniques & tools: a research perspective
Priya James (2018) Protecting Big Data with Hadoop: A Cyber Security Protection Guide
Published
2018-11-30
How to Cite
Petruhno, I. R., & Burlakov, V. M. (2018). DATA MINING AND MACHINE LEARNING TECHNIQUES TO DETECT INTRUSION INTO CYBER SECURITY OF ROBOTIC SYSTEMS. Scientific Look into the Future, 1(11-01), 62–66. https://doi.org/10.30888/2415-7538.2018-11-01-055
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Articles
