The techniques described in this disclosure provide resilient and reactive on-demand Distributed Denial-of-Service (DDoS) mitigation services using an exchange. For example, an exchange comprises a first virtual network for switching mixed traffic (including dirty (DDoS) traffic and clean (non-DDoS) traffic)) from one or more networks to one or more DDoS scrubbing centers; and a second virtual network for switching the clean traffic from the one or more DDoS scrubbing centers to the one or more networks, wherein the exchange is configured to receive the mixed traffic from the one or more networks and switch, using the first virtual network, the mixed traffic to a selected DDoS scrubbing center of the one or more DDoS scrubbing centers, and wherein the exchange is configured to receive the clean traffic from the selected DDoS scrubbing center and switch, using the second virtual network, the clean traffic to the one or more networks.

A method includes determining a number of drops of a plurality of messages sent to a first node of a plurality of nodes within a mesh network. Based at least in part on the number of drops of the plurality of messages exceeding a threshold number of drops for a time period, decrementing a first rating assigned to the first node to a second rating assigned to the first node. Based at least in part on the second rating being below a rating threshold, determining that the first node is a potentially malicious node. Based at least in part on a first distance to the first node being larger than a distance threshold, identifying that the first node is a malicious node. The method may further include ending communications with the first node.

Methods and systems for synchronizing state information amongst monitoring nodes for DDoS attack mitigation are disclosed. Embodiments of the present technology may include a method for synchronizing state information amongst monitoring nodes, the method including identifying a packet as a state-related packet by inspecting the packet below a TCP/IP stack in a monitoring node and implementing state synchronization operations below the TCP/IP stack of the monitoring node in response to identifying the packet as a state-related packet, wherein the state synchronization operations include updating an allowlist stored as a key-value map in the monitoring node based on the identified packet and generating a state update packet based on the identified packet.

A method includes identifying a potentially malicious node using a rating assigned to nodes within the network and decrementing the rating based on detected dropped messages to identify a potentially malicious node. The malicious node is identified based on location information obtained from the nodes within the network and comparable distances from the potentially malicious node. The method further includes ending communications with the malicious node and selecting a new parent node based on a presumption that any of the plurality of nodes other than the malicious node are non-malicious.

The disclosure relates to computer-based communication systems, such as the Internet, and in particular systems and methods for defending against DoS attacks (denial of service attacks) on Internet servers.

A computer method and system for detecting denial of service network attacks by analyzing intercepted data packets on a network to determine a user account associated with a preselected target host sought to be accessed via a user account login attempt. Determine if the login attempt exceeds a predetermined login value for previous failed login attempts associated with the user account sought to be accessed. Determine a geographic location associated with the login attempt if determined the login attempt exceeded the predetermined login value. Determine if a prior login attempt to the user account sought to be accessed was successful from the determined geographic location. Authenticate the login attempt to the user account sought to be accessed in the event it was determined a prior successful login attempt was made to the user account from the determined geographic location or no prior login attempts originated from the determined geographic location.

The techniques described in this disclosure provide resilient and reactive on-demand Distributed Denial-of-Service (DDoS) mitigation services using an exchange. For example, an exchange comprises a first virtual network for switching mixed traffic (including dirty (DDoS) traffic and clean (non-DDoS) traffic)) from one or more networks to one or more DDoS scrubbing centers; and a second virtual network for switching the clean traffic from the one or more DDoS scrubbing centers to the one or more networks, wherein the exchange is configured to receive the mixed traffic from the one or more networks and switch, using the first virtual network, the mixed traffic to a selected DDoS scrubbing center of the one or more DDoS scrubbing centers, and wherein the exchange is configured to receive the clean traffic from the selected DDoS scrubbing center and switch, using the second virtual network, the clean traffic to the one or more networks.

A system and computer-implemented method of managing botnet attacks to a computer network is provided. The system and method includes receiving a DNS request included in network traffic, each DNS request included in the network traffic and including a domain name of a target host and identifying a source address of a source host, wherein the translation of the domain name, if translated, provides an IP address to the source host that requested the translation. The domain name of the DNS request is compared to a botnet domain repository, wherein the botnet domain repository includes one or more entries, each entry having a confirmation indicator that indicates whether the entry corresponds to a confirmed botnet. If determined by the comparison that the domain name of the DNS request is included in the botnet domain repository, then the source address of the DNS request is stored or updated in an infected host repository and a control signal is output to cause any future network traffic from the source address to be diverted to an administrator configured address. Each source address stored in the infected host repository identifies a host known to be infected.

A threat detection system for a mobile communication system, and a global device and a local device thereof are provided. The threat detection system is used for detecting and defensing low and slow distributed denial-of-service (LSDDoS) attacks. The global device is located in a core network of the mobile communication system, and is used for training a tensor neural network (TNN) model to build a threat classifier. The threat classifier is used for the local device to identify a plurality of threat types. The local device inputs the to-be-identified data into the threat classifier to generate a classification result corresponding to one of the threat types.

An apparatus may comprise a processing resource operatively coupled to a memory resource and a frame determination component operatively coupled to the processing resource and the memory resource. The frame determination component may cause a counter corresponding to a particular station associated to the apparatus to be stored in the memory resource, the counter to be incremented in response to receipt of a transmission frame containing an invalid starting sequence number (SEN) and a deauthentication frame to be transmitted in response to receipt of a threshold number of transmission frames containing the invalid.