Mcafee, Inc.

Nokia Technologies Oy

Mcaee, LLC

Harsha Ramamurthy Joshi

Tirumaleswar Reddy Konda

Srikanth Nalluri

Dattatraya Kulkarni

Himanshu Srivastava

Piyush Pramod Joshi

Shashank Mohan Jain

Eric Donald Wuehler

Raja Sinha

Susmita Nayak

Siddaraya B Revashetti

Anjan Kumar Nayak

Pavan Kumar Podila

Purushothaman B

Bhuvnesh Joshi

VijayaSumanth Pinapala

Jitesh Dattani

Saravana Kumar Ramalingam

Sohan Lal

Siddartha Y Ramamohan

Purnima Tammireddy

Naveen Kandadi

There is disclosed in one example a mobile telephone, including: a hardware platform including a processor and a memory; a telecommunication transceiver; and instructions encoded within the memory to instruct the processor to: identify a call made via the telecommunication transceiver; analyze the call and assign the call a predicted local reputation according to the analysis, including a legitimacy confidence score; if the legitimacy confidence score is less than a first threshold, terminate the call; if the legitimacy confidence score is greater than a second threshold, cease analysis of the call; and if the legitimacy confidence score is between the first and second thresholds, continue analysis of the call.

Fraudulent call detection

Mechanisms for authorizing requests to access a resource are provided, the methods comprising: receiving a request to access the resource at a hardware processor from an Internet Protocol (IP) address; determining whether a rule applies to the request to access the resource; in response to determining that a rule does not apply to the request to access the resource, sending a request for authorization; receiving a response to the request for authorization; and in response to the response to the request for authorization indicating that access is authorized, providing a connection to the resource.

Systems, methods, and media for authorizing external network access requests

There is disclosed in one example a computing endpoint, including: a hardware platform including a processor and a memory; an operating system to run on the hardware platform; a web browser to run on the operating system, and including an extension framework; and a management extension to run in the extension framework, and to contextually manage availability of other extensions according to a URL reputation and extension reputation.

Contextual management of browser extensions

There is disclosed in one example a computing apparatus, including: a hardware platform including a processor, a memory, and a network interface; and instructions encoded within the memory to instruct the processor to: receive an incoming packet via the network interface; extract from the incoming packet a source port and a source internet protocol (IP) address; correlate the source port and source IP to a device identifier (ID); receive a network policy for the device ID; and apply the network policy to the incoming packet.

Agentless security services

A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Mechanism to determine cellular signal reputation of a location and intelligently manage lack of connectivity

Example methods, apparatus, systems and articles of manufacture to implement cooperative mitigation of distributed denial of service attacks originating in local networks are disclosed. An example network element disclosed herein is to detect a first distributed denial of service attack associated with first network traffic received by an Internet service provider network, the first network traffic originating from a first device connected to a local network. The disclosed example network element is also to implement a threat signaling client to transmit first information describing the first distributed denial of service attack to a threat signaling server implemented by a local network router of the local network, and receive second information from the threat signaling server of the local network, the second information to provide a notification when the first network traffic associated with the first distributed denial of service attack has been mitigated.

Cooperative mitigation of distributed denial of service attacks originating in local networks

An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to identify, on an electronic device, a phone number of an incoming caller device; request, via an out-of-band control channel, a digital certificate for the phone number from the incoming caller device; receive, via the out-of-band control channel, the digital certificate for the phone number from the incoming caller device; determine whether the digital certificate for the phone number is authentic; and indicate, on the electronic device, based on a determination that the digital certificate for the phone number is authentic or not authentic, whether the phone number is authentic or not authentic.

System for authenticating a phone number using a phone number certificate

Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.

Methods, systems, and media for dynamically separating internet of things devices in a network

There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface; an operating system including a native internet protocol (IP) stack; and a security agent, including instructions encoded within the memory to instruct the processor to: establish a split virtual private network (VPN) tunnel with a remote VPN service; receive outgoing network traffic; direct a first portion of the outgoing traffic to the VPN tunnel, including determining that the first portion includes an outgoing domain name service (DNS) request; and direct a second portion of the outgoing traffic to the native IP stack.

Split tunnel-based security

Mechanisms for split tunneling are provided. The mechanisms identify user devices and determine that communications for a first device of the user devices are to be tunneled. These mechanisms also receive a DNS request from a second device of the user devices, modify the DNS request to request meta information corresponding to a domain identified in the DNS request, and send the DNS request to a DNS server. The mechanisms further receive a response to the DNS request, wherein the response includes the meta information, determine that communications for the second device are not to be tunneled based at least in part on the meta information, and cause the communications for the first device to be tunneled and the communications for the second device to not be tunneled.

Systems, methods, and media for intelligent split-tunneling

Methods, apparatus, systems and articles of manufacture are disclosed to verify encrypted handshakes. An example apparatus includes a message copier to clone a client introductory message, the client introductory message is included in a first handshake for network communication between a client and a server, a connection establisher to initiate a second handshake between the apparatus and the server based on the cloned client introductory message, and a decrypter to, in response to the second handshake, decrypt a certificate sent by the server.

Methods and apparatus to verify encrypted handshakes

Particular embodiments described herein provide for a system that can be configured to facilitate the use of a blockchain for distributed denial of service attack mitigation, the system can include a network security provider and a validating node. The network security provider can recognize that a distributed denial of service (DDoS) attack is occurring, create a block that includes data related to the DDoS attack, and publish the block that includes the data related to the DDoS attack for addition to a blockchain. The validating node can validate the block that includes the data related to the DDoS attack and the block that includes the data related to the DDoS attack can be added to the blockchain. The block that includes the data related to the DDoS attack can be analyzed to determine how to mitigate a similar DDoS attack.

Growing community of inventors

Bengaluru, India

Harsha Ramamurthy Joshi