H04L63/0254

Cyber Protections of Remote Networks Via Selective Policy Enforcement at a Central Network
20220166755 · 2022-05-26 ·

An enterprise organization may operate a central network and one or more remote networks, each comprising a plurality of computing devices. For protection against malicious actors, the central network may be configured to filter network traffic associated with the computing devices based on identified threats. Traffic corresponding to computing devices connected to the remote network may be tunneled to the central network for filtering by the central network. A tunnel gateway device, associated with the remote network, may efficiently identify which communications are associated with Internet threats, and tunnel such identified traffic to the central network, where actions may be taken to protect the enterprise network.

Network sanitization for dedicated communication function and edge enforcement
11741801 · 2023-08-29 ·

A network sanitization technology for enforcing a network edge and enforcing particular communication functions for untrusted dedicated-function devices such as internet protocol (IP) IP cameras. An untrusted network device is isolated from a network by a network sanitization system such that it cannot communicate with the network. Communications from the untrusted device are intercepted by the system and only allowed communications are used. Allowed communications are used to create new communications according to an allowed framework. Sanitization device may be in small two-port package with visual indicia indicating the untrusted device and the network side. The device may use and provide power over Ethernet (PoE) PoE to device. Abstract is not to be considered limiting.

Ethernet type packet data unit session communications

Systems, apparatuses, and methods are described for wireless communications. A policy control function may determine a policy and charging control rule comprising one or more Ethernet source MAC addresses and a quality of service policy. The policy control function may send the policy and charging control rule to a session management function to provide an Ethernet PDU session for a wireless device.

System and method for DNS misuse detection

A computer method and system for mitigating Domain Name System (DNS) misuse using a probabilistic data structure, such as a cuckoo filter. Intercepted is network traffic flowing from one or more external hosts to a computer network, the intercepted network traffic including a DNS request that requests a Resource Record name in a DNS zone file. A determination is made as to whether the DNS request is requesting resolution at a protected DNS Name Server. A hash value is calculated for the requested Resource Record name if it is determined the DNS request is requesting resolution at the protected DNS Name Server. A determination is then made as to whether the calculated hash value for the requested Resource Record name is present in the probabilistic data structure. The DNS request is forwarded to the protected server if the requested Resource Record name is determined present in the probabilistic data structure.

Enforcing a segmentation policy in co-existence with a system firewall

A segmentation firewall executing on a host enforces a segmentation policy. In a co-existence mode, the segmentation firewall operates in co-existence with a system firewall that enforces a security policy. The segmentation firewall is configured to either drop packets that do not match any permissive rule or pass packets that match a permissive rule to the system firewall to enable the system firewall to determine whether to drop or accept the passed packets. To enable efficient operation of the segmentation firewall when operating in co-existence with the system firewall, the segmentation firewall may include a plurality of rule chains and may be configured to exit a chain and bypass remaining rule chains upon an input packet matching a permissive rule of the segmentation policy.

IMPLEMENTING POLICY BASED ON UNIQUE ADDRESSES OR PORTS
20230269275 · 2023-08-24 ·

Techniques for binding communication flows to unique addresses and/or ports, and configuring networking devices internal to a network to apply policy without the need to further introspect a given stream. Further, by creating mappings of unique addresses and/or ports to flows, the network devices are able to enforce policy without needing to coordinate with an edge node of the network at which the communication session terminates. Further, the techniques may include providing an SDN controller with a mapping between a unique address/port and a network flow, determining flow-specific policy to enforce on the flow, and programming one or more network devices to enforce the flow-specific policy in the network using the unique address/port.

Enforcing a segmentation policy in co-existence with a system firewall

A segmentation firewall executing on a host enforces a segmentation policy. In a co-existence mode, the segmentation firewall operates in co-existence with a system firewall that enforces a security policy. The segmentation firewall is configured to either drop packets that do not match any permissive rule or pass packets that match a permissive rule to the system firewall to enable the system firewall to determine whether to drop or accept the passed packets. To enable efficient operation of the segmentation firewall when operating in co-existence with the system firewall, the segmentation firewall may include a plurality of rule chains and may be configured to exit a chain and bypass remaining rule chains upon an input packet matching a permissive rule of the segmentation policy.

Collecting and processing contextual attributes on a host

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and/or process events on the machines. The context engine then provides the contextual attributes to the service engines, which, in turn, use these contextual attributes to identify service rules for processing.

Scalable encryption framework using virtualization and adaptive sampling

Systems, computer program products, and methods are described herein for scalable encryption framework using virtualization and adaptive sampling. The present invention is configured to receive metadata associated with one or more intrusion types from an intrusion data lake; initiate an adaptive instance sampling engine on the metadata associated with the one or more intrusion types to generate a sampled intrusion data lake; initiate one or more simulations of atomic intrusion on a firewall; generate one or more prioritized combination of the one or more sampled intrusion types; initiate one or more simulations of cumulative intrusion on the firewall using the one or more prioritized combination of the one or more sampled intrusion types; determine an atomic performance metric and a cumulative performance metric of the firewall; and generate a robustness report for the firewall.

SMART PROXY FOR A LARGE SCALE HIGH-INTERACTION HONEYPOT FARM
20220141194 · 2022-05-05 ·

Techniques for providing a smart proxy for a large scale high-interaction honeypot farm are disclosed. In some embodiments, a system/method/computer program product for providing a smart proxy for a large scale high-interaction honeypot farm includes receiving tunneled traffic at a smart proxy from a sensor for a honeypot farm that is executed in a honeypot cloud, wherein the tunneled traffic is forwarded attack traffic, and wherein the honeypot farm includes a plurality of container images of distinct types of vulnerable services; selecting a matching type of vulnerable service from the plurality of container images of distinct types of vulnerable services based on a profile of the attack traffic; and forwarding the tunneled traffic to an instance of the matching type of vulnerable service.