Embodiments described include systems and methods for providing peer-to-peer caching among client applications. A cache coordinator is configured to receive a first request to register an object stored in a cache by a first client application including a first embedded browser. The first embedded browser obtains the object via a session established by the first embedded browser with a first network application on a server of a second entity. The cache coordinator is configured to store a location of the first client application and a hash of the object. The cache coordinator is configured to receive a second request from a second client application. The second request requests the location of the object among peer client applications. The cache coordinator is configured to communicate identification of the location of the first client application to the second client application for retrieving the object from the cache of the first client application.

Techniques for providing network traffic security in a virtualized environment are described. A threat aware controller uses a threat feed provided by a threat intelligence service to establish a threat detection engine on virtual switches. The threat aware controller and threat detection engine work together to detect any anomalous or malicious behavior of network traffic on the virtual switch and established virtual network functions to quickly detect, verify, and isolate network threats.

A rollover system is provided to facilitate transitioning of client devices in a shared account network environment, from an old password to a new replacement password. The switching of passwords may take place gradually during a rollout period for client devices without required downtime and reducing a risk of lockouts. During the rollover period, a prior salt is temporarily carried over to a new verifier for the replacement password. Two new verifiers are generated: a temporary new verifier using the old salt for verification during the rollover period and another new verifier using a different new salt for verification after the rollover period had expired. During the rollover period, authentication involves the use of the temporary new verifier with the old salt or by the old verifier and old salt of the prior password. After the rollover period, authentication is based on the new verifier with a new salt.

A method, apparatus and product for chat-based application interface for automation. Using a natural language interface, receiving user input. Based on the user input, determining an automation process of a computer program having a user interface (UI), to be executed. The automation process is executed by utilizing the UI to input data thereto or execute functionality thereof. Additionally or alternatively, a conversation to be implemented by a natural language interface may be defined. The conversation is configured to obtain from the user one or more values corresponding to one or more parameters. The conversation is associated with a parameterized automation process depending on the one or more parameters. The parameterized automation process is invoked automatically by a natural language interface and using one or more values provided by the user to the natural language interface for the one or more parameters.

A cyber security protection system includes a plurality of threat information updating devices; and a proactive suspicious domain alert system, which including: a domain information monitoring device; a domain information storage device; and a security threat analysis device, arranged to operably communicate data with the plurality of threat information updating devices through a network. If the domain information monitoring device detects that a domain mapping of a suspect domain is changed and the new domain mapping of the suspect domain points to a predetermined local address, the domain information monitoring device would further monitor a domain mapping variation frequency of the suspect domain. If the domain mapping variation frequency of the suspect domain exceeds a predetermined value, the security threat analysis device adds the suspect domain into an alert list to render the plurality of threat information updating devices to block their member devices from accessing the suspect domain.

There may be provided a method that includes receiving or generating a first plurality (N) points within a first multi-dimensional space that has M dimensions; M being a positive integer that is smaller than N; wherein the N points represent one or more behaviors of the one or more IOT devices; wherein a clustering of the N points within the first multi-dimensional space results in at least some clusters that are inseparable from each other; generating a representation of the N points within a second multi-dimensional space that has at least N dimensions; wherein a clustering of the N points within the second multi-dimensional space results in clusters that are separable from each other; calculating projections of the N points on a sub-space that has a second plurality (Q) of dimensions; wherein Q is a function of a relationship between a number (K) of clusters and an allowed error (ε); computing a core-set that comprises a weighted subset of the projections; clustering the projections of the weighted subset to provide current clusters; and identifying the one or more IOT devices based on a relationship between the current clusters and identification information regarding IOT devices of known identity.

An estimation device includes: a collection section configured to collect related information when cyber threat intelligence of a maliciousness estimation target is input, the related information being related to the cyber threat intelligence and other cyber threat intelligence different from the cyber threat intelligence; a feature generation section configured to generate a feature based on the related information, the feature representing a feature of the cyber threat intelligence; a graph information generation section configured to generate graph information based on the related information and the other cyber threat intelligence, the graph information indicating a graph in which each of the cyber threat intelligence and the other cyber threat intelligence is a node and a relationship between the nodes is an edge; and an estimation section configured to estimate the maliciousness of the cyber threat intelligence by a graph convolutional neural network using the feature of the cyber threat intelligence when a graph indicated by the graph information has a graph structure between the cyber threat intelligence and the other cyber threat intelligence.

A method includes: When receiving at least one policy, a first network device sends one or more policies in the at least one policy to a second network device based on filtering information. The filtering information includes a policy address family identifier and a device identifier of the second network device.

A computer-implemented method includes: (i) receiving location information that represents a physical location of a user; (ii) receiving first sensor data that has been generated by a sensor on a client device of the user; (iii) in response to receiving the first sensor data, obtaining second sensor data that has been generated by a sensor on a sensor device and that represents an environmental condition of an area around the physical location; (iv) determining whether the first sensor data matches the second sensor data; and (v) in response to determining that the first sensor data matches the second sensor data, determining that the user is authentic.

A method and system for characterizing application layer flood denial-of-service (DDoS) attacks carried by advanced application layer flood attack tools. The method comprises receiving an indication on an on-going DDoS attack directed toward a protected entity; analyzing requests received during the on-going DDoS attack to determine a plurality of different attributes of the received requests; generating a dynamic applicative multi-paraphrase signature by clustering at least one value of the plurality of different attributes, wherein the multi-paraphrase signature characterizes requests with different attributes as generated by an advanced application layer flood attack tool executing the on-going DDoS attack; and characterizing each incoming request based on the multi-paraphrase signature, wherein the characterization provides an indication for each incoming request whether a request is generated by the attack tool.