Mcafee, Inc.

Mcaee, LLC

Srikanth Nalluri

Dattatraya Kulkarni

Raja Sinha

Kamlesh Halder

Venkatasubrahmanyam Krishnapur

Kaushal Kumar Dhruw

Himanshu Srivastava

Harsha Ramamurthy Joshi

Tirumaleswar Reddy Konda

Susmita Nayak

Raj Vardhan

Krishnapur Narasimhamurthy Venkatasubrahmanyam

Kranthikumar Gadde

Anjan Kumar Nayak

Raghavendra Satyanarayana Hebbalalu

Yogesh Jain

Mitesh Kumar

Shashank Mohan Jain

Piyush Pramod Joshi

Siddaraya B Revashetti

Partha Sarathi Barik

Sailaja K Shankar

Aravind Doss

Arvind Sankarasubramanian

Kranthi Kumar Gadde

Samrat Chitta

Purushothaman B

Celeste R Fralick

Yonghong Huang

Gabriel G Infante-Lopez

Urmil Mahendra Parikh

Bhaavika Panjwani

VijayaSumanth Pinapala

Jitesh Dattani

Saravana Kumar Ramalingam

Sohan Lal

Siddartha Y Ramamohan

Pravat Lall

Sandeep Swastik

Ram Sharan Singh

Naveen Kandadi

Sonam Bothra

Shailaja Shankar

Raghuvir Songhela

Venkata Krishnan Nagarajan

A method includes receiving privacy information about an entity from a privacy resource; parsing the privacy information into a plurality of attributes of a user; calculating a privacy exposure index, at least in part based on each of the plurality of attributes; and transmitting the privacy exposure index.

System and method for assessment of privacy exposure and computing risk index for online service

Methods, apparatus, systems, and articles of manufacture for orchestrating personal protection across digital assets are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to monitor digital assets associated with a protection threat surface to detect a protection event, determine one or more protection vectors associated with the digital assets in response to detecting the protection event, the one or more protection vectors including one or more values corresponding to an impact of the protection event on an overall protection posture associated with the protection threat surface, and determine protection remediation action for the digital assets based on the one or more protection vectors.

Methods and apparatus to orchestrate personal protection across digital assets

Methods, apparatus, systems, and articles of manufacture for comprehensive user-centric protection of digital assets are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify digital assets associated with a protection threat surface, detect protection events corresponding to threats associated with the digital assets, and determine protection vectors associated with the digital assets based on the protection events, the protection vectors corresponding to protection capabilities associated with the digital assets.

Methods and apparatus for comprehensive user-centric protection of digital assets

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 monitor software and hardware parameters on an electronic device that includes an application designated as a preferred application; determine whether the preferred application is running; detect a change in software or hardware parameters that indicates to reallocate resources to the preferred application; and apply, based on detecting the change in software or hardware parameters, an optimization policy that reallocates resources to a process associated with the preferred application.

Resource management for preferred applications

There is disclosed in one example a remediation server 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 application binary; create an application logic model of the application binary; and create personalization rules for the application binary based on the application logic model.

Managed software remediation

Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety. An example apparatus to identify unsafe permissions associated with a candidate app disclosed herein includes an app classifier interface to retrieve a cluster of apps associated with the candidate app, the candidate app including a requested permission set (RPS), a white knight (WK) identifier to identify a set of WK apps within the cluster, the set of WK apps associated with a designation of trust, a safe permission set (SPS) evaluator to generate an SPS list associated with the set of WK apps within the cluster, and an RPS identifier to determine whether permissions of the RPS are listed in the SPS list, the SPS evaluator further to designate first respective ones of the permissions of the RPS as safe when the first respective ones of the permissions are listed in the SPS list, and designate second respective ones of the permissions of the RPS as unsafe when the second respective ones of the permissions are absent from the SPS list.

Methods, systems, articles of manufacture and apparatus to verify application permission safety

There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Dynamic process criticality scoring

Disclosed examples include receiving an indication that a file is designated as a favorite file from a user device; retrieving the file from a remote location; storing the file as a first favorite file on a favorites storage device; re-retrieving the file from the remote location; and updating the first favorite file with the re-retrieved file.

Methods and apparatus for automatic creation and access to favorite personal cloud data

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

The present disclosure relates to a system and method for performing anti-malware scanning of data files that is data-centric rather than device-centric. In the example, a plurality of computing devices are connected via a network. An originating device creates or first receives data, and scans the data for malware. After scanning the data, the originating device creates and attaches to the data a metadata record including the results of the malware scan. The originating device may also scan the data for malware contextually-relevant to a second device.

Digital protection that travels with data

The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Mechanisms for conserving resources of wearable devices

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

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

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

Growing community of inventors

Bengaluru, India

Srikanth Nalluri