Building an Anti-Botnet Platform to Mitigate Botnet

In recent years, with the rapid growth of the Internet applications and services, botnet becomes one of the most severe threats on the Internet. Because the botnets can be automatically evolved as different localized versions in a short period of time, how to find an effective and efficient approach to detect and notify the Botnet attack becomes an important and interesting issue. To cope with the issue, we proposed a collective intelligence approach which aims to enable the systematic and dynamic creation of malware information and knowledge. Accordingly, we developed an anti-botnet platform together with a social networking structure, and an anti-botnet service web site, where the collaborative anti-botnet platform is used to collect the Botnet attack information through the Honeypot Deployment of different organizations and the proposed social networking structure can help build the consensus to select the attributes of the Botnet. The collected data can be then sent to the Anti-Virus Software Vendor to develop the antidote which can be free downloaded by the infected Internet users. Besides, an anti-botnet web site is also developed for Botnet information query, and malware prevention teaching. According to the experimental results, we show that the platform can be used to reduce the Botnet and malware attacks, and the collected information and knowledge can be used to enhance the national information and communication security. Key-Words: Anti-Botnet Platform, Honeypot, Botnet, collective intelligence, social networking, consensus building