Open AccessTHE USE OF K-MEANS ALGORITHM ON DATALOG HONEYNET FOR PROFILING DDOS ATTACKS
Author(s) -
Winda Andrini Wulandari
Publication year - 2017
Publication title -
jtiulm (jurnal teknologi informasi universitas lambung mangkurat)
Language(s) - English
Resource type - Journals
eISSN - 2528-2514
pISSN - 2527-5399
DOI - 10.20527/jtiulm.v2i2.17
Subject(s) - honeypot , computer science , cloud computing , computer security , timestamp , denial of service attack , datalog , database , world wide web , operating system , the internet
Cloud computing are admired for excellence, flexible benefits, and can be used together in various aspects and areas of business. According to Arbor Network that cloud technology is very vulnerable to DDoS attacks and the frequency of attacks has increased sharply in recent years.This research is the result of cooperation with AWN University and Indonesia Honeypot Project (IHP) Ministry of Communications and Informatics. The results suggest that honeynet as a way to protect and monitor the security of public cloud computing networks, and analyze its datalog through the k-means method approach to recognize cyber profilling DDoS attacks based on the timestamp recorded in the data.