Abstract: Methods and systems for detecting Denial-of-Service (DoS) attacks on a network. The method includes clustering connection requests received at the network during a first collection time having a first time span based on communication datasets extracted therefrom. For at least one connection cluster, a first DoS attack detection algorithm is executed to determine a first probability that the connection cluster is associated with a DoS attack. The first confidence score is compared with a first threshold to determine whether a mitigation order is to be generated. The connection cluster is adjusted by extracting second communication datasets from connection requests received at the network during a second collection time having a second time span longer than the first time span, and a second DoS attack detection algorithm is executed to determine a second probability that the connection cluster is associated with a DoS attack.

Abstract: Method and system for detecting a Denial-of-Service (DoS) attack on a network. The method includes sampling a traffic carried by the network between data processing devices, the traffic comprising data packets transmitted between the data processing devices, determining statistically estimated features of the traffic based on the sampling thereof, executing one or more heuristic algorithm based on the statistically estimated features, the one or more heuristic algorithms being configured to generate a confidence score indicative of a probability that at least some of the data packets constitute a DoS attack and comparing the confidence score with a confidence threshold to determine whether a mitigation order is to be generated.

Abstract: Method and system for detecting a Denial-of-Service (DOS) attack on a network. The method includes sampling a traffic carried by the network between data processing devices, the traffic comprising data packets transmitted between the data processing devices, determining statistically estimated features of the traffic based on the sampling thereof, executing one or more heuristic algorithm based on the statistically estimated features, the one or more heuristic algorithms being configured to generate a confidence score indicative of a probability that at least some of the data packets constitute a DOS attack and comparing the confidence score with a confidence threshold to determine whether a mitigation order is to be generated.

Abstract: Methods and systems for detecting Denial-of-Service (DoS) attacks on a network. The method includes clustering connection requests received at the network during a first collection time having a first time span based on communication datasets extracted therefrom. For at least one connection cluster, a first DoS attack detection algorithm is executed to determine a first probability that the connection cluster is associated with a DoS attack. The first confidence score is compared with a first threshold to determine whether a mitigation order is to be generated. The connection cluster is adjusted by extracting second communication datasets from connection requests received at the network during a second collection time having a second time span longer than the first time span, and a second DoS attack detection algorithm is executed to determine a second probability that the connection cluster is associated with a DoS attack.