Methods for managing a communication session in a communication network are disclosed. For example, a method includes detecting, by a first endpoint comprising at least one processor, an error condition associated with the communication session, sending, by the first endpoint, a notification of the error condition to a second endpoint that is using a transport layer session and receiving, by the first endpoint, a communication from the second endpoint, proposing a response to the error condition. Another method includes receiving, by a first endpoint comprising at least one processor, a notification of an error condition associated with the communication session, selecting, by the first endpoint, a response to the error condition, and sending, by the first endpoint, a communication to a second endpoint that is using a transport layer session, proposing a response to the error condition.

Management of IoT devices through a private cloud. An IoT device is coupled to a gateway. A request from the IoT device to connect to a private cloud, wherein the private cloud is used to manage IoT devices, is received at a private cloud control center agent. An identification of the IoT device is determined. The IoT device is onboarded, using the identification, for management through the private cloud. A device profile of the IoT device is generated. The flow of data to and from the IoT device is regulated through application of IoT rules of an IoT firewall according to the device profile of the IoT device.

Examples relate to collaborative investigation of security indicators. The examples disclosed herein enable presenting, via a user interface, community-based threat information associated with a security indicator to a user. The community-based threat information may comprise investigation results that are obtained from a community of users for the security indicator, and an indicator score that is determined based on the investigation results. The examples further enable obtaining an investigation result from the user and updating the indicator score based on the investigation result.

Disclosed herein are a dynamic security module server device for transmitting a dynamic security module to a user terminal and receiving a security management event from the user terminal, and a method of operating the dynamic security module server device. The dynamic security module server device includes a communication unit configured to transmit and receive a security management event over a network, and a processor configured to control the communication unit. The processor is configured to create a security session with the security client of a user terminal, and to transmit a dynamic security module to the security client of the user terminal so that part or all of code performing security management in the security client of the user terminal in which the security session has been created has a predetermined valid period.

A cloud storage server-based approach allows detection of ransomware activity in cloud storage systems caused by ransomware infections on an endpoint device. A heuristic or rule-based technique is employed for recognizing sequences of file operations that may indicate ransomware activity. In some embodiments, users may be offered an opportunity to approve or disapprove of the possible ransomware activity. In others, cloud system file activity may be suspended or halted for the affected user upon recognition of possible ransomware actions. Enhanced recovery of files affected prior to recognition of the ransomware activity may be performed in some embodiments.

A computer-implemented method, computerized apparatus and computer program product for monitoring traffic in a computer network. The computer network comprises a plurality of devices configured to apply a transformation function on a target port identifier of a requested transmission by an application program executing thereon and direct the transmission to a different target port per the scrambled identifier thereby obtained. The transformation function depends on at least one parameter shared among the plurality of devices and applying thereof is conditioned on the application program requesting transmission being listed in a list of authorized application programs. Attempts to access invalid ports as defined by the transformation function are identified and an action for mitigating a security threat ascribed thereto is provided.

According to some embodiments, an overall chain-of-trust may be established for an industrial control system. Secure hardware may be provided, including a hardware security module coupled to or integrated with a processor of the industrial control system to provide a hardware root-of-trust. Similarly, secure firmware associated with a secure boot mechanism such that the processor executes a trusted operating system, wherein the secure boot mechanism includes one or more of a measured boot, a trusted boot, and a protected boot. Objects may be accessed via secure data storage, and data may be exchanged via secure communications in accordance with information stored in the hardware security model.

Various embodiments of the invention provide solutions (including inter alia, systems, methods and software) for dealing with online fraud. Some embodiments function to access and/or obtain information from (and/or receive data from) a data source; the data might, for example, indicate a possible instance of online fraud. Certain embodiments, therefore, can be configured to analyze the data, e.g., to determine whether the data indicate a likely instance of online fraud. Such instances may be further investigated, and/or a response may be initiated. Data sources can include, without limitation, web pages, email messages, online chat sessions, domain zone files, newsgroup (and/or posting thereto), etc. Data obtained from the data sources can include, without limitation, suspect domain registrations, uniform resources locators, references to trademarks, advertisements, etc.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Disclosed herein are systems and methods for parallel malware scanning in a cloud environment. In one exemplary aspect, a method may comprise identifying a plurality of agents connected to a server, wherein each agent is configured to synchronize data between a different computing device and the server. The method may comprise receiving, from a first agent of the plurality of agents, a request to scan the synchronized data for malware. In response to determining, from the plurality of agents, at least one other agent that comprises the synchronized data, the method may comprise partitioning the synchronized data into a plurality of portions. The method may comprise assigning a first portion for scanning to the first agent and at least one other portion for scanning to the at least one other agent, and aggregating scan results from the first agent and the at least one other agent.