Abstract: A method for detecting DoS attacks using an encrypted communication protocol includes estimating traffic telemetries of packets of at least ingress traffic passing over an insecure network that is directed to a protected entity by analyzing TCP headers of the packets, the packets using an encrypted version of a non-encrypted communication protocol, the packets being intended for the protected entity; providing at least one rate-based feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-based feature and the rate-invariant feature demonstrate a normal behavior of the traffic; and executing a mitigation action when a potential flood DoS attack using the encrypted communication protocol is detected by an evaluation of each of the at least one rate-based feature and the at least one rate-invariant feature with respect to respective baselines to determine whether the behavior of the ingress traffic indicates a potential flood DoS attack.

Abstract: A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes: identifying at least one hit quantile out of a plurality of quantiles, wherein the at least one identified hit quantile falls within quantile edges of a sample of traffic directed at a protected entity, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate; updating the probability estimates of the plurality of quantiles when the at least one hit quantile has been identified; and when the probability estimate of the at least one hit quantile is above a threshold, taking an action to mitigate existence of a cyber-attack.

Abstract: A method and system for detecting and mitigation a cyber-attack scanner are provided. The method includes determining if a source network address designated in a received packet is suspicious as of a cyber-attack scanner, wherein the determination is based on a likelihood that the source address was previously frequently encountered; upon determining that the source network address is suspicious, determining diversity of destination network addresses sent by a source having the suspicious network address; and upon determining that the destination network addresses are diversified, generating an alarm indicating that a source network address is a cyber-attack scanner, wherein a cyber-attack scanner is a device to identify destination network addresses in a protected entity that be exploit for at least a cyber-attack scanner.

Abstract: A system and method for detecting cyber-attacks using quantile regression analysis are disclosed. The method includes identifying at least one hit quantile out of a plurality of quantiles, wherein at least one sample of traffic directed at a protected entity falls within quantile edges of the at least one identified hit quantile, wherein each of the plurality of quantiles is characterized by a probability distribution of at least one feature of a data stream, each of the plurality of quantiles having a respective probability estimate of bytes to fall into it; updating the probability estimates of the plurality of quantiles when the hit quantile has been identified; determining if the probability estimate of the at least one hit quantile is above a threshold; and detecting a cyber-attack when the probability estimate of the at least one hit quantile is above the threshold.

Abstract: A method and system for protecting against quick UDP Internet connection (QUIC) based denial-of-service (DDoS) attacks. The system comprises extracting traffic features from at least traffic directed to a protected entity, wherein the traffic features demonstrate behavior of QUIC user datagram protocol (UDP) traffic directed to the protected entity, wherein the extract traffic features include at least one rate-base feature and at least one rate-invariant feature, and wherein the at least traffic includes QUIC packets; computing at least one baseline for each of the at least one rate-base feature and the at least one rate-invariant feature; and analyzing real-time samples of traffic directed to the protected entity to detect a deviation from each of the at least one computed baseline, wherein the deviation is indicative of a detected QUIC DDoS attack; and causing execution of at least one mitigation action when an indication of the detected QUIC DDoS attack is determined.

Abstract: A system and method for detecting anomalous hypertext transfer protocol secure (HTTPS) traffic are provided. The method includes receiving samples of at least rate-based features, wherein the rate-based features demonstrate a normal behavior of at least HTTPS traffic directed to a protected entity; computing a short-term baseline and a long-term baseline based on the received samples, wherein the short-term baseline is adapted to relatively rapid changes in the HTTPS traffic and the long-term baseline is adapted to relatively slow changes in the HTTPS traffic; computing at least one short-term threshold respective of the short-term baseline and at least one long-term threshold respective of the long-term baseline; evaluating each of the at least one threshold against real-time samples of HTTPS traffic to determine whether behavior of the HTTPS traffic is anomalous; and generating alarm when anomaly is detected.

Abstract: A method for detecting DoS attacks using an encrypted communication protocol includes estimating traffic telemetries of packets of at least ingress traffic passing over an insecure network that is directed to a protected entity by analyzing TCP headers of the packets, the packets using an encrypted version of a non-encrypted communication protocol, the packets being intended for the protected entity; providing at least one rate-based feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-based feature and the rate-invariant feature demonstrate a normal behavior of the traffic; and executing a mitigation action when a potential flood DoS attack using the encrypted communication protocol is detected by an evaluation of each of the at least one rate-based feature and the at least one rate-invariant feature with respect to respective baselines to determine whether the behavior of the ingress traffic indicates a potential flood DoS attack.

Abstract: A method for detecting hypertext transfer protocol secure (HTTPS) flood denial-of-service (DDoS) attacks. The method estimating traffic telemetries of at least ingress traffic directed to a protected entity; providing at least one rate-base feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-base feature and the rate-invariant feature demonstrate a normal behavior of HTTPS traffic directed to the protected entity; evaluating the at least one rate-base feature and the at least one rate-invariant feature with respect to at least one baseline to determine whether the behavior of the at least HTTPS traffic indicates a potential HTTPS flood DDoS attack; and causing execution of a mitigation action when an indication of a potential HTTPS flood DDoS attack is determined.

Abstract: A system and method for detecting anomalous hypertext transfer protocol secure (HTTPS) traffic are provided. The method includes receiving samples of at least rate-base features, wherein the rate-base features demonstrate a normal behavior of at least HTTPS traffic directed to a protected entity; computing a short-term baseline and a long-term baseline based on the received samples, wherein the short-term baseline is adapted to relatively rapid changes in the HTTPS traffic and the long-term baseline is adapted to relatively slow changes in the HTTPS traffic; computing at least one short-term threshold respective of the short-term baseline and at least one long-term threshold respective of the long-term baseline; evaluating each of the at least one threshold against real-time samples of HTTPS traffic to determine whether behavior of the HTTPS traffic is anomalous; and generating alarm when anomaly is detected.

Abstract: A method and system for protecting against quick UDP Internet connection (QUIC) based denial-of-service (DDoS) attacks. The system comprises extracting traffic features from at least traffic directed to a protected entity, wherein the traffic features demonstrate behavior of QUIC user datagram protocol (UDP) traffic directed to the protected entity, wherein the extract traffic features include at least one rate-base feature and at least one rate-invariant feature, and wherein the at least traffic includes QUIC packets; computing at least one baseline for each of the at least one rate-base feature and the at least one rate-invariant feature; and analyzing real-time samples of traffic directed to the protected entity to detect a deviation from each of the at least one computed baseline, wherein the deviation is indicative of a detected QUIC DDoS attack; and causing execution of at least one mitigation action when an indication of the detected QUIC DDoS attack is determined.

Abstract: A method and system for detecting and mitigation recursive domain name system (DNS) cyber-attacks are disclosed. The method includes receiving DNS queries directed to a DNS resolver, wherein the DNS resolver is communicatively connected between at least one client and at least one name server; parsing each received DNS query to extract a hostname identified therein; updating at least one array of Bloom filters using the extracted hostname; computing a ratio of an unrecognized hostnames per sample (UPS) based on the contents of the at least one array; and determining if the UPS ratio is abnormal, wherein an abnormal UPS ratio is an indication of an attack.

Abstract: A method for detecting hypertext transfer protocol secure (HTTPS) flood denial-of-service (DDoS) attacks. The method estimating traffic telemetries of at least ingress traffic directed to a protected entity; providing at least one rate-base feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-base feature and the rate-invariant feature demonstrate a normal behavior of HTTPS traffic directed to the protected entity; evaluating the at least one rate-base feature and the at least one rate-invariant feature with respect to at least one baseline to determine whether the behavior of the at least HTTPS traffic indicates a potential HTTPS flood DDoS attack; and causing execution of a mitigation action when an indication of a potential HTTPS flood DDoS attack is determined.

Abstract: A method and system for controlling multi-tiered mitigation of cyber-attacks.

Abstract: A system and method for real-time tuning of inference systems based on quality of incoming data. The method comprises: periodically receiving traffic data collected by a plurality of collectors deployed in a network; determining at least a normalized variance of a current sample of the received traffic data; estimating, based in part on the normalized variance, a standard deviation of the received traffic data and a fading coefficient of a baseline filter; determining a current baseline value based on a previous baseline value, the fading coefficient, and the current sample of the traffic data; and dynamically setting at least one membership function of the inference system based in part on the current baseline value and the standard deviation.

Abstract: A method and system for detecting and mitigation recursive domain name system (DNS) cyber-attacks are disclosed. The method includes receiving DNS queries directed to a DNS resolver, wherein the DNS resolver is communicatively connected between at least one client and at least one name server; parsing each received DNS query to extract a hostname identified therein; updating at least one array of Bloom filters using the extracted hostname; computing a ratio of an unrecognized hostnames per sample (UPS) based on the contents of the at least one array; and determining if the UPS ratio is abnormal, wherein an abnormal UPS ratio is an indication of an attack.

Abstract: A method and system for configuring a behavioral network intelligence system using a network monitoring programming language are provided. The method includes defining at least one target of a traffic segment to be monitored using at least one application path attribute of an application, wherein the application is accessed via at least one user device connected to a network, wherein the at least one application path attribute is defined respective of an application path keyword and an application path assessment keyword; and defining at least one condition representing the behavior of the at least one application path attribute of the application, the at least one target and the at least one condition can be interpreted by a monitoring system to allow for determining a behavioral impact of the application on the network.

Abstract: A method and system for determining the behavioral impact of applications and their respective users on a network carrier are provided. The method includes receiving data collected by at least one deep packet inspection (DPI) engine; classifying the received data at least per an application path respective of each of the applications; generating an application path profile data structure using the collected data; and generating, responsive to at least one behavioral rule, at least one degree of fulfillment (DoF) for the application path based on contents of the application path profile data structure, wherein the at least DoF defines an association of the application path with at least one behavior group, wherein the behavior group determines the behavioral impact of an application represented by the application path.

Abstract: A method and system for controlling multi-tiered mitigation of cyber-attacks.

Abstract: A system and method for detecting abnormal traffic behavior. The method comprises: applying a task to an input data set to create an un-normalized cluster of traffic features, wherein the task defines a plurality of traffic features; computing a center point of the cluster of traffic features; computing a distance between the computed center point and a new sample, wherein the new sample includes traffic features defined in the task; and determining, based on the computed distance, whether the received new sample demonstrates abnormal behavior.

Abstract: A method and system for controlling multi-tiered mitigation of cyber-attacks.