<?xml version="1.0" encoding="UTF-8"?>
<record>
  <title>Honeypot Service based on Cloud against DDoS to support VoIP Service</title>
  <journal>Journal of Information Technology Review</journal>
  <author>Byungrae Cha, Sujeong Shim</author>
  <volume>6</volume>
  <issue>1</issue>
  <year>2015</year>
  <doi></doi>
  <url></url>
  <abstract>Computing is facing another revolution. This time it is called â€˜Cloud Computingâ€™ and involves accessing software applications, data storage and processing power over the Internet. In this paper, we describe the multistage
anomaly detection scheme to DDoS attacks in cloud computing resource of future internet. This scheme is composed by 3 stages. Monitoring stage performs misuse detection by rules of attack patterns to well-known DDoS attacks. Lightweight anomaly detection stage could classified volume data into large volume data and small volume data, and applied Bayesian
methods. And focused Anomaly detection stage is performed to detect new DDoS attacks by unsupervised learning algorithm. </abstract>
</record>
