Radware Ltd.

A method and system for matching event sequences for predictive detection of cyber-attacks are discussed. The method comprises receiving a reference event sequence and a query event sequence; converting the reference event sequence to a first step-value list and the query event sequence to a second step-value list; and matching the first and second step-value lists to identify at least one optimal common pattern.

A method for operating at least one log-analytics detection platform for detecting security threats associated with a client network, comprising: obtaining, via a communication network, log files from a client network, each log file comprising a log record associated with a channel and including an outbound communications log; extracting a channel feature set for said channels from said log files, said channel feature set comprises data pertaining to an associated entity, at least one channel feature being behavior of communication over a channel; aggregating said channel associated features for each of the channels into a data repository; generating a risk factor characterized by an entity score for said least one entity associated with entities of said channels; and blocking of communication for said entity when said risk factory is indicative of said entity being a security threat.

A system and method for bot detection utilizing storage variables are presented. The storage variables generated is used to analyze user behavior and distinguish human traffic from bot traffic. The system for detecting bot traffic using storage variables includes a client application, a computer network, a bot detector, a bot computer, a storage variable generator, and a server. The client device enables a user to access information through the client application. The storage variable generator is configured to generates a plurality of storage variables including counter storage variable. The bot detector analyses the presence of bots in incoming traffic.

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.

A method and system for controlling access to a protected entity. The method includes receiving a redirected client request to access the protected entity that the protected entity denied; granting, in response to the received redirected request, access tokens of a first type to a client; identifying a conversion transaction identifying a request to convert the first type of access tokens with access tokens of a second type, the transaction designating the protected entity; determining a conversion value for converting first-type access tokens into second-type of access tokens, the conversion value being based on at least one access parameter; converting, using the conversion value, a first sum of the first-type access tokens into a second sum of second-type access tokens; and granting the client access to the protected entity when the sum of second-type of access tokens is received as a payment from the protected entity.

A method and system for configuring a web application firewall (WAF) device. The system includes continuously receiving events of an event log associated with a first web based application; generating for each event a signature using a local sensitive hash function; populating a Markov model based on signatures generated for the events, wherein each node in the Markov model corresponds to a generated signature; generating a first new signature for a first new received event, and a second new signature for a second new received event, wherein the second event is subsequent to the first event; determining a probability based on the Markov model that the second event is subsequent to the first event, by locating a first node corresponding to the first new signature and a second node corresponding to the second new signature; and authorizing a request associated with the second event, in response to determining that the determined probability exceeds a predefined threshold.

A defense platform for protecting a cloud-hosted application against distributed denial-of-services (DDoS) attacks, wherein the defense platform is deployed out-of-path of incoming traffic of the cloud-hosted application hosted in a plurality of cloud computing platforms, comprising: a detector; a mitigator; and a controller communicatively connected to the detector and the mitigator; wherein the detector is configured to: receive telemetries related to behavior of the cloud-hosted application from sources deployed in the plurality of cloud computing platforms; and detect, based on the telemetries, a potential DDoS attack; wherein, the controller, upon detection of a potential DDoS attack, is configured to: divert traffic directed to the cloud-hosted application to the mitigator; cause the mitigator to perform at least one mitigation action to remove malicious traffic from the diverted traffic; and cause injection of clean traffic to at least one of the plurality of cloud computing platforms hosting the cloud-hosted application.

A method for stateless distribution of bidirectional flows with network address translation (NAT) comprises: determining an original source port for a first packet of a front-end received from a client device, wherein the original source port is associated with a processing core; selecting a new source port for a back-end flow, wherein the new source port is selected such that the back-end flow is returned to the processing core of the front-end flow; replacing the original source port with the new source port; and transmitting the incoming flow to a destination server.

A system and method for generating insights on distributed denial of service (DDoS) attacks are provided. The method includes receiving a plurality of data feeds from a plurality of data sources; processing the plurality of received data feeds to generate enriched data sets; and analyzing the enriched data sets to generate insights information about a DDoS attack that have been participated in at least one DDoS attack.

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.