📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 11, NOVEMBER 2016

Prediction of Varied Network Attacks using Data Mining Techniques – A Review

R. Thilakavathi, P. Kalaivani

DOI: 10.17148/IJARCCE.2016.51159

Abstract: In computer networks, an attack is an attempt to seize, immobilize, destroy, modify, or gain unauthorized access to or make unauthorized use of an asset. Network attacks can cause network services slow, temporarily unavailable, or down for a long period of time. The main aim of this work is to find different types of network attacks and detection techniques to resolve malicious attacks in the network flow. It is necessary for users and network administrator to detect these attacks before they cause damage to the system. Data mining techniques will help the network administrators to identify new network attacks in current scenario.



Keywords: Networks, malicious attacks, Data Mining

How to Cite:

[1] R. Thilakavathi, P. Kalaivani, “Prediction of Varied Network Attacks using Data Mining Techniques – A Review,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51159