Anomaly detection is now very important in the network because the increasing use of the internet and security of a network or user is a main concern of any network administrator. As the use of the internet increases,...Anomaly detection is now very important in the network because the increasing use of the internet and security of a network or user is a main concern of any network administrator. As the use of the internet increases, so the chances of having a threat or attack in the network are also increasing day by day and traffic in the network is also increasing. It is very difficult to analyse all the traffic data in network for finding the anomaly in the network and sampling provides a way to analyse the anomalies in network with less traffic data. In this paper, we propose a port scan detection approach called CPST uses connection status and pattern of the connections to detect a particular source is scanner or benign host. We also show that this approach works efficiently under different sampling methods.展开更多
Detection of port scan is an important component in a network intrusion detection and prevention system. Traditional statistical methods can be easily evaded by stealthy scans and are prone to DoS attacks. This paper ...Detection of port scan is an important component in a network intrusion detection and prevention system. Traditional statistical methods can be easily evaded by stealthy scans and are prone to DoS attacks. This paper presents a new mechanism termed PSD(port scan detection), which is based on TCP packet anomaly evaluation. By learning the port distribution and flags of TCP packets arriving at the protected hosts, PSD can compute the anomaly score of each packet and effectively detect port scans including slow scans and stealthy scans. Experiments show that PSD has high detection accuracy and low detection latency.展开更多
文摘Anomaly detection is now very important in the network because the increasing use of the internet and security of a network or user is a main concern of any network administrator. As the use of the internet increases, so the chances of having a threat or attack in the network are also increasing day by day and traffic in the network is also increasing. It is very difficult to analyse all the traffic data in network for finding the anomaly in the network and sampling provides a way to analyse the anomalies in network with less traffic data. In this paper, we propose a port scan detection approach called CPST uses connection status and pattern of the connections to detect a particular source is scanner or benign host. We also show that this approach works efficiently under different sampling methods.
文摘Detection of port scan is an important component in a network intrusion detection and prevention system. Traditional statistical methods can be easily evaded by stealthy scans and are prone to DoS attacks. This paper presents a new mechanism termed PSD(port scan detection), which is based on TCP packet anomaly evaluation. By learning the port distribution and flags of TCP packets arriving at the protected hosts, PSD can compute the anomaly score of each packet and effectively detect port scans including slow scans and stealthy scans. Experiments show that PSD has high detection accuracy and low detection latency.
