Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce
by
Nureni Ayofe Azeez 1, Tolulope Jide Ayemobola 1, Sanjay Misra 2,3, Rytis Maskeliūnas 4 and Robertas Damaševičius 4,*
Nureni Ayofe Azeez 1, Tolulope Jide Ayemobola 1, Sanjay Misra 2,3, Rytis Maskeliūnas 4 and Robertas Damaševičius 4,*
1
Department of Computer Sciences, University of Lagos, Lagos 100213, Nigeria
2
Department of Electrical & Information Engineering, Covenant University, Ota 112233, Nigeria
3
Department of Computer Engineering, Atilim University, Ankara 06830, Turkey
4
Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Computers 2019, 8(4), 86; https://doi.org/10.3390/computers8040086
Received: 23 October 2019 / Revised: 28 November 2019 / Accepted: 29 November 2019 / Published: 2 December 2019
Ubiquitous nature of Internet services across the globe has undoubtedly expanded the strategies and operational mode being used by cybercriminals to perpetrate their unlawful activities through intrusion on various networks. Network intrusion has led to many global financial loses and privacy problems for Internet users across the globe. In order to safeguard the network and to prevent Internet users from being the regular victims of cyber-criminal activities, new solutions are needed. This research proposes solution for intrusion detection by using the improved hashing-based Apriori algorithm implemented on Hadoop MapReduce framework; capable of using association rules in mining algorithm for identifying and detecting network intrusions. We used the KDD dataset to evaluate the effectiveness and reliability of the solution. Our results obtained show that this approach provides a reliable and effective means of detecting network intrusion.
Keywords:
association rule mining; intrusion detection; cyberattack; network security; apriori; MapReduce
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Azeez, N.A.; Ayemobola, T.J.; Misra, S.; Maskeliūnas, R.; Damaševičius, R. Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce. Computers 2019, 8, 86.
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