Abstract: 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.

Abstract: 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.

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 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.

Abstract: 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.

Abstract: 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

Abstract: 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.

Abstract: 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.

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 generating an optimization instruction set based on communication between at least one server and at least one client are provided. The method includes aggregating a plurality of messages communicated from the at least one server to the at least one client; analyzing the plurality of messages to determine a plurality of resources to be consolidated; and generating an optimization instruction set for consolidating the determined plurality of resources, wherein the generated optimization instruction set comprises instructions for replacing the plurality of resources with the consolidated resources.

Abstract: A method and system for multi-layer traffic steering for enabling service chaining over a software defined network (SDN) are provided. The method is performed by a central controller of the SDN and includes receiving at least one service chaining rule defining at least one value-added service (VAS) to assign to an incoming traffic flow addressed to a destination server; analyzing each of the at least one received service chaining rule to determine if an application-layer steering is required; generating at least one application-layer steering rule, upon determining that an application-layer steering is required; generating at least one network-layer steering rule, upon determining that an application-layer steering is not required; and programming a multi-layer steering fabric with the generated at least one of network-layer steering rule and application-layer steering rule.

Abstract: A system and method for controlling authorization to a protected entity are provided. The method includes: receiving an access request for access to the protected entity, wherein the access request is received from a client device; in response to the access request, causing the client device to perform an admission process that includes performing at least one game; monitoring a distributed database to identify at least one admission transaction designating admission criteria; determining if the admission criteria satisfy a set of conditions for accessing the protected entity; identifying, on the distributed database, completion results of the at least one game, wherein whether the admission criteria satisfies the set of conditions for accessing the protected entity is determined based on the results of the at least one game; and granting access to the protected entity by the client device when the admission criteria satisfies the set of conditions.

Abstract: 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.

Abstract: A method and system for protecting a cloud computing platform against cyber-attacks are provided. The method includes gathering cloud logs from a cloud computing platform; analyzing, by a plurality of detectors, the cloud logs to detect at least one suspicious behavior, wherein each of the at least one suspicious behavior is identified by a suspect indicator; sequencing suspect indicators into attack sequences; scoring each of the attack sequences with an attack score, wherein each attack is scored using a scoring model; and alerting on each attack sequence having a score higher than a predefined threshold.

Abstract: An out-of-path defense platform protecting against excessive utilization of a cloud service providing a cloud hosted application comprising a controller communicatively coupled to a detector and a mitigator; wherein the detector receives telemetries from sources that are configured to collect telemetries related to the traffic between end user devices and an edge network that distributes traffic for the cloud hosted application, the telemetries being out-of-path information for traffic to and from the cloud-hosted application, wherein a portion of the telemetries relate to operation of a portion of a cloud computing platform hosting the cloud-hosted application, and detects, using the collected telemetries and a learned normal utilization behavior of each cloud service for the cloud-hosted application, excessive utilization of a cloud service by the cloud hosted application; and wherein the controller, upon detection of the excessive utilization, causes mitigation, by the mitigator, of the excessive utilizati

Abstract: A system and method for blockchain-based access authorization to a protected entity. The method includes: receiving, by the protected entity, an access request to a protected entity, wherein the access request is received from a client device; extracting a unique client identifier from the received access request; causing the client device to perform an admission process; monitoring a blockchain network to identify at least one admission transaction, wherein the at least one admission transaction designates admission criteria; determining if the admission criteria satisfy a set of conditions for accessing the protected entity; and granting access to the client device when the admission criteria satisfies the set of conditions, wherein the access is access to the protected entity.

Abstract: A method and system for predicting subsequent cyber-attacks in attack campaigns are provided. The method includes receiving events data related to cyber-attacks occurring in a network during a predefined time window; extracting at least one sequence from the received events data at least one attack vector; generating a sequence signature for each of the at least one extracted sequence; comparing each sequence signature to a representation of historic sequence signatures to determine at least partially matching sequence signature; and based on the matching sequence, determining at least one subsequent cyber-attack in a respective sequence.

Abstract: A system, and method therefor for disaggregated detection denial-of-service (DDoS) are provided. The system includes a plurality of detectors deployed on a plurality of network nodes, wherein each network node is connected to an edge network, wherein one detector of the plurality of detectors is deployed in each of the plurality of network nodes, wherein each of the plurality of detectors is configured to detect and characterize at least a DDoS attack by analyzing telemetries received by the respective network node in which the detector is deployed.

Abstract: A method and system for continuously configuring a web application firewall (WAF) are provided. The method includes receiving a request directed at a protected web application, wherein the request is received from a client device associated with a trusted user account, and wherein the protected web application is protected by the WAF; validating the received request based on at least a signature included in a header of the received request; when the received request is validated, generating an authorization rule based on the received request, wherein the authorization rule allows access to a resource of the protected web application designated in the received request, wherein the generated authorization rule is included in at least one whitelist the WAF is configured with; and configuring the WAF with the generated authorization rule to allow the received request and subsequent request to be directed to the resource of the protected web application.

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.