Biblio

Development of an intrusion detection system, which tries to detect signs of technology of malware, is discussed. The system can detect signs of technology of malware such as peer to peer (P2P) communication, DDoS attack, Domain Generation Algorithm (DGA), and network scanning. The system consists of beneficial botnet and the R statistical computing system. The beneficial botnet is a group of Wiki servers, agent bots and analyzing bots. The script in a Wiki page of the Wiki server controls an agent bot or an analyzing bot. An agent bot is placed between a LAN and its gateway. It can capture every packet between hosts in the LAN and hosts behind the gateway from the LAN. An analyzing bot can be placed anywhere in the LAN or WAN if it can communicate with the Wiki server for controlling the analyzing bot. The analyzing bot has R statistical computing system and it can analyze data which is collected by agent bots.

A beneficial botnet, which tries to cope with technology of malicious botnets such as peer to peer (P2P) networking and Domain Generation Algorithm (DGA), is discussed. In order to cope with such botnets' technology, we are developing a beneficial botnet as an anti-bot measure, using our previous beneficial bot. The beneficial botnet is a group of beneficial bots. The peer to peer (P2P) communication of malicious botnet is hard to detect by a single Intrusion Detection System (IDS). Our beneficial botnet has the ability to detect P2P communication, using collaboration of our beneficial bots. The beneficial bot could detect communication of the pseudo botnet which mimics malicious botnet communication. Our beneficial botnet may also detect communication using DGA. Furthermore, our beneficial botnet has ability to cope with new technology of new botnets, because our beneficial botnet has the ability to evolve, as same as malicious botnets.