Patent classifications
H04L2463/141
IDENTIFYING AND DECEIVING ADVERSARY NODES AND MANEUVERS FOR ATTACK DECEPTION AND MITIGATION
A computer-implemented method, computer program product and computer system include a processor(s) receiving request from a first client for an attribute of a first service node to utilize to access the service provided. The processor(s) provides the attribute of the first service node to the first client. The processor(s) accepts an access to the service by the first client, based on the first client utilizing the attribute to connect to the first service node. The processor(s) identifies attributes of one or more clients accessing the service via the first service node, including the first client. The processor(s) experiences an event indicating a need to change security protecting access to the service. The processor(s) redistributes the one or more clients to at least two additional service nodes.
SYSTEMS, METHODS, AND DEVICES TO DEFEND AGAINST ATTACKS
Systems, methods, and/or techniques for mitigating attacks on an IoT device at a gateway device may be provided. The gateway device may receive a communication directed to an Internet of Things (IoT) device and forward it to the IoT device. The IoT device may indicate to the gateway device that the communication is associated with an attack and send the gateway device a sleep time period and a request to change a filtering rule set at the gateway device. The gateway device may change the filtering rule set and receive another communication directed to the IoT device. If the another communication is valid based on the filtering rule set with the change and a number of valid packets is less than a threshold, and the sleep time period has expired, the gateway device may send another communication to the IoT device.
SYSTEM AND METHOD FOR DETECTING DIRECTED CYBER-ATTACKS TARGETING A PARTICULAR SET OF CLOUD BASED MACHINES
A system for detecting a targeted attack by a first machine on a second machine is provided. The system includes an application including instructions to: according to first parameters, group alerts for attacking machines; each group of alerts corresponds to attacks performed by a respective one of the attacking machines, and each of the alerts is indicative of a possible attack performed by one of the attacking machines; according to second parameters, group metadata corresponding to attacked machines implementing cloud applications; based on the group of metadata corresponding to the second machine and one or more co-factors, evaluate one or more alerts corresponding to attacks performed by the first machine on the second machine relative to alerts associated with attacks performed by the first machine on other machines or attacks performed by the attacking machines; and alert the second machine of the targeted attack.
Early-Warning Decision Method, Node and Sub-System
Early-warning decision method, node and system are provided in the present disclosure. The method includes obtaining a flow analysis result of a portion of service requests that are targeted at a same server; calculating a flow of all the service requests that are targeted at the server based on a flow indicated by the flow analysis result and a weight of a current distributed node, the weight being a weight or proportion of all the service requests targeted at the server that accounts for the flow indicated by the flow analysis result that is obtained by the current distributed node; comparing a flow of all the service requests that are targeted at the server with an abnormal flow threshold; and determining whether to send an instruction for performing subsequent processing on the server based on a comparison result.
Systems and methods for mitigating and/or preventing distributed denial-of-service attacks
In one implementation, a gateway include one or more processors configured to obtain network data from one or more entities associated with the gateway, provide the network data to a server, and obtain a set of entity identifiers from the server. The set of entity identifiers may be generated based on at least the network data. The one or more processors may be further configured to filter communications based on the set of entity identifiers.
Methods and systems for mitigating denial of service (DOS) attack in a wireless network
The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as Long Term Evolution. Methods and systems for mitigating Denial of Service (DOS) attacks in wireless networks, by performing admission control by verifying a User Equipment's (UE's) registration request via a Closed Access Group (CAG) cell without performing a primary authentication are provided. Embodiments herein disclose methods and system for verifying permissions of the UE to access a CAG cell based on the UE's Subscription identifier, before performing the primary authentication. The method for mitigating DOS attacks in wireless networks includes requesting a public land mobile network for accessing a non-public network (NPN) through a CAG cell, verifying the permissions of a UE to access the requested NPN through the CAG cell, and performing a primary authentication.
APPARATUS FOR DISTRIBUTED DENIAL OF SERVICE (DDOS) DETECTION AND MITIGATION
Obtain, by a controller, from at least one provisioning database of an internet service provider, assigned bandwidth per customer for a plurality of internet service provider customers. Obtain, by the controller, from a plurality of peering entry points of the internet service provider, currently used bandwidth per customer for the plurality of internet service provider customers. Compare, by the controller, for the plurality of internet service provider customers, the assigned bandwidth per customer to the currently used bandwidth per customer, to determine at least one given customer of the plurality of internet service provider customers putatively suffering from a distributed denial of service attack. Initiate at least one remedial action for the at least one given customer of the plurality of internet service provider customers putatively suffering from the distributed denial of service attack.
Slowing requests from malicious network clients
A method and network are provided for monitoring a network during a DDoS attack. The method includes establishing a flow record for flows designated for tarpitting and a state machine, each state of multiple states of the state machine having an associated handler function. The handler function associated with a current state of a state machine associated with a flow is invoked to perform one or more actions associated with the flow or the flow record for applying at least one tarpitting technique of one or more candidate tarpitting techniques associated with the flow record, and return a next state, which is used to update the current state of the state machine. The handler function associated with the current state of the state machine is repeatedly invoked, wherein each invocation of the handler function potentially applies different tarpitting techniques.
Delivering security functions to distributed networks
Systems and methods for delivering security functions to a distributed network are described herein. An exemplary method may include: processing a data packet received from a switch, the data packet directed to the at least one network asset; selectively forwarding the data packet using the processing and a rule set; inspecting the forwarded packet; directing the enforcement point to at least one of forward the data packet to the at least one network asset and drop the data packet, using the inspection and the rule set; accumulating data associated with at least one of the data packet, the processing, and the inspection; analyzing the at least one of the data packet, the processing, and the inspection; and initiating compilation of a high-level security policy by the compiler using the analysis to produce an updated rule set.
Systems, devices, and methods for improved network security
Embodiments relate to systems, devices, and computing-implemented methods for providing DoS mitigation using a list of persistent clients generated using network flow data. Daily flow counts can be incremented once per date for unique flow combinations in the network flow data that are associated with at least one network interaction that occurred on that date. A candidate list of persistent clients can be created based on the daily flow counts, and the candidate list of persistent clients can be filtered and ranked, and the list of persistent clients can be selected based on the rankings.