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Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques
[article]
2018
arXiv
pre-print
The exponential increase in the number of malicious threats on computer networks and Internet services due to a large number of attacks makes the network security at continuous risk. One of the most prevalent network attacks that threaten networks is Denial of Service (DoS) flooding attack. DoS attacks have recently become the most attractive type of attacks to attackers and these have posed devastating threats to network services. So, there is a need for effective approaches, which can
arXiv:1809.02611v1
fatcat:ddhukhnafbdsfoehn3wjd3l27u