Botnet Detection Based on Correlation of Malicious Behaviors

Botnet Malicious Activity Detection Based on DNS Traffic Analysis

In the field of internet security botnet is becoming the significant threat as more number of users are connected to internet. Botnet which is a collection of infected computers so called (bots) are becoming the major threat to internet community. The difference between a malware and botnet is that bot is remotely controlled by a C&C server which are under the control of a botmaster. Here in th...

Correlation-based Botnet Detection in Enterprise Networks

BotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle

Nowadays, botnets are considered as essential tools for planning serious cyberattacks. Botnets are used to perform various malicious activities such as DDoSattacks and sending spam emails. Different approaches are presented to detectbotnets; however most of them may be ineffective when there are only a fewinfected hosts in monitored network, as they rely on similarity in...

Survey on network-based botnet detection methods

Botnets are an important security problem on the Internet. They continuously evolve their structure, protocols and attacks. This survey analyzes and compares the most important efforts carried out in a network-based detection area. It accomplishes four tasks: first, the comparison of previous surveys and the proposal of four new dimensions to analyze their classification schemes; second, a new ...

Botnet Detection Based on Network Behavior

Current techniques for detecting botnets examine traffic content for IRC commands, monitor DNS for strange usage, or set up honeynets to capture live bots. Our botnet detection approach is to examine flow characteristics such as bandwidth, packet timing, and burst duration for evidence of botnet command and control activity. We have constructed an architecture that first eliminates traffic that...