Device and method for intrusion detection in a computer network. A data packet is received at an input of a hardware switch unit, an actual value from a field of the data packet being compared in a comparison by a hardware filter with a setpoint value for values from the field, the field including data link layer data or network layer data, a value for a counter determined as a function of a result of the comparison being provided by the hardware switch unit, and a computing device determining a result of the intrusion detection as a function of the value of the counter in the hardware switch unit and independently of information from the data packet, in particular, without an evaluation of information from the data packet by the computing device.

A proxy server for limiting Internet connection speed of visitors that pose a threat. The proxy server receives from a client device a request to perform an action on an identified resource that is hosted at an origin server for a domain. The proxy server receives the request as a result of a DNS request for the domain resolving to the proxy server. The origin server is one of multiple origin servers that belong to different domains that resolve to the proxy server and are owned by different entities. The proxy server analyzes the request to determine whether a visitor belonging to the request poses a threat. If the proxy server determines that the visitor poses a threat, the proxy server reduces the speed at which the proxy server processes the request while keeping a connection to the client device open.

Techniques for malicious HTTP cookies detection and clustering are disclosed. In some embodiments, a system, process, and/or computer program product for malicious HTTP cookies detection and clustering includes receiving a sample at a cloud security service; extracting a cookie from network traffic associated with the sample; determining that the cookie is associated with malware; and generating a signature based on the cookie.

A cloud network may include a distributed security switch (DSS). The DSS may be to receive configuration information from the hypervisor. The configuration information may include a set of access mode attributes and a security policy. The DSS may be to determine that a packet is to be directed from a source virtual machine to a target virtual machine. The DSS may be to identify an egress interface of the source virtual machine and an ingress interface of the target virtual machine. The egress interface may be associated with a first access mode attribute and the ingress interface being associated with a second access mode attribute. The DSS may be to selectively route the packet, using the shared memory, based on the first access mode attribute, the second access mode attribute, and the security policy.

A server, in communication with a plurality of microservices in a microservices mesh environment, obtains data about inbound communications to a first microservice and outbound communications from the first microservice of the plurality of microservices. The server analyzes the data to learn an operational behavior of the first microservice and determine a firewall rule set to be applied associated with the first microservice based on the operational behavior learned for the first microservice. The server causes a micro-firewall to be instantiated for the first microservice. The micro-firewall is configured to apply the firewall rule set to inbound communications to the first microservice and outbound communications from the first microservice.

A device may receive a request for a network service configuration (NSC) that is to be used to configure network devices. The device may select a graphical data model that has been trained via machine learning to analyze a dataset that includes information relating to a set of network configuration services, where aspects of a subset of the set of network configuration services have been created over time. The device may determine, by using the graphical data model, a path through a set of states of the graphical data model, where the path corresponds to a particular NSC. The device may select the particular NSC based on the path determined. The device may perform a first group of actions to provide data identifying the particular NSC for display, and/or a second group of actions to implement the particular NSC on the network devices.

A firewall uses information about an application that originates a network request to determine whether and how to forward the request over a network. The firewall may more generally rely on the identity of the originating application, the security state of the originating application, the security state of the endpoint, and any other information that might provide an indication of malicious activity, to make routing and forwarding decisions for endpoint-originated network traffic.

Systems and methods are provided for protecting a plurality of electronic devices via a control server. The control server, for example, can receive one or more indications that a first electronic device is considered malicious and add it to a security threat list. Then the control server can communicate the security threat list to others of the electronic devices, networked for communication with each other, such that the other electronic devices reject all communication from any device listed on the security threat list. Next, upon receiving indication from an approved security patch-providing source that a security patch has been applied to the first electronic device, the control server can remove the first electronic device from the security threat list and communicate the updated security threat list to the other electronic devices indicating that it is safe for these electronic devices to again receive communication from the first electronic device.

A threat intelligence gateway (TIG) may protect TCP/IP networks from network (e.g., Internet) threats by enforcing certain policies on in-transit packets that are crossing network boundaries. The policies may be composed of packet filtering rules with packet-matching criteria derived from cyber threat intelligence (CTI) associated with Internet threats. These CTI-derived packet-filtering rules may be created offline by policy creation and management servers, which may distribute the policies to subscribing TIGs that subsequently enforce the policies on in-transit packets. Each packet filtering rule may specify a disposition that may be applied to a matching in-transit packet, such as deny/block/drop the in-transit packet or pass/allow/forward the in-transit packet, and also may specify directives that may be applied to a matching in-transit packet, such as log, capture, spoof-tcp-rst, etc. Often, however, the selection of a rule's disposition and directives that best protect the associated network may not be optimally determined before a matching in-transit packet is observed by the associated TIG. In such cases, threat context information that may only be available (e.g., computable) at in-transit packet observation and/or filtering time, such as current time-of-day, current TIG/network location, current TIG/network administrator, the in-transit packet being determined to be part of an active attack on the network, etc., may be helpful to determine the disposition and directives that may best protect the network from the threat associated with the in-transit packet. The present disclosure describes examples of methods, systems, and apparatuses that may be used for efficiently determining (e.g., accessing and/or computing), in response to the in-transit packet, threat context information associated with an in-transit packet. The threat context information may be used to efficiently determine the disposition and/or one or more directives to apply to the in-transit packet. This may result in dispositions and/or directives being applied to in-transit packets that better protect the network as compared with solely using dispositions and directives that were predetermined prior to receiving the in-transit packet.

Techniques for cellular Internet of Things (IoT) battery drain prevention in mobile networks (e.g., service provider networks for mobile subscribers) are disclosed. In some embodiments, a system/process/computer program product for cellular IoT battery drain prevention in mobile networks includes monitoring network traffic on a service provider network at a security platform to identify a misbehaving application based on a security policy, wherein the service provider network includes a 4G network or a 5G network; extracting subscription identifier information for network traffic associated with the misbehaving application at the security platform; and enforcing the security policy at the security platform to rate limit paging messages sent to an endpoint device using the subscription identifier information and based on the security policy.