Cisco Technology, Inc.

Yahoo! Inc.

Ashok K Kumar

Navindra Yadav

Umamaheswaran Arumugam

Prasannakumar Jobigenahally Malleshaiah

Supreeth Rao

Aiyesha Ma

Hanlin He

Darshan Shrinath Purandare

Kai Zhu

Robert Bukofser

Supreeth Hosur Nagesh Rao

Tapan Shrikrishna Patwardhan

Sumeet Knmar Arora

Subodh Shakya

Songlin Li

Venkatesh Dattathri

Sahil Chander Bhardwaj

Nimish Bhatt

Fuzhuo Sun

Karen Yang

Prasanna Satyamurthy

Amit Kumar Aggarwal

Shrinath Honnavalli

Systems, methods, and computer-readable media for determine a neighborhood graph can include the following processes. A neighborhood graph system generates a neighborhood graph for a plurality of nodes in an enterprise network, the neighborhood graph representing a multi-hop connections between any two nodes of the plurality of nodes. A security score service determines a security score for each of the plurality of nodes to yield a plurality of scores. The neighborhood graph system updates the neighborhood graph of the plurality of nodes using the plurality of scores to provide a visual representation of securities of the plurality of nodes relative to each other.

Secure neighborhoods assessment in enterprise networks

The present disclosure relates to methods, systems, and non-transitory computer readable media for generating an application protectability index for network applications and a corresponding protectability scheme. In one aspect, a method includes identifying, by a network controller, network layers associated with an application; determining, by the network controller, a corresponding security index for the application at each of the network layers to yield a plurality of security indexes, each of the plurality of security indexes providing an objective assessment of protectability of the application at a corresponding one of the network layers; determining, by the network controller, an application protectability index; and providing an application protectability scheme for protecting the application based on the application protectability index.

Application protectability schemes for enterprise applications

Systems, methods, and non-transitory computer-readable storage media are disclosed for detecting, identifying, and/or assessing hidden vulnerabilities in an enterprise network. In one example, a device may have one or more memories storing computer-readable instructions and one or more processors configured to execute the computer-readable instructions to receive vulnerability data of network components within an enterprise network. The vulnerability data can include identification of one or more vulnerabilities detected within the enterprise network. The device can then determine a vulnerability frequency and a machine frequency associated with each of the one or more vulnerabilities. The device can then determine a vulnerability score for each of the one or more vulnerabilities based on the vulnerability frequency and an inverse of the machine frequency, to yield a plurality of vulnerability scores. The device can then rank the one or more vulnerabilities based on the plurality of vulnerability scores.

Systems and methods for detecting hidden vulnerabilities in enterprise networks

Disclosed is a method comprising identifying one or more moving features in a first video via a computing platform, representing the one or more moving features as fingerprint representations via the computing platform, and comparing the fingerprint representations with fingerprint representations of a second video to determine a match via the computing platform.

Video comparing using fingerprint representations

Methods and systems for monitoring a data path on a network routing device are described. The data path includes a plurality of devices on the network routing device and an interface. Data packets are moved on the network routing device using the devices and communicated to and from a network via the interface. A process for detecting a defective device on the network routing device is executed. The process is a self-contained process that is executed within the data path, allowing a defect in the data path to be detected, localized and recovered from.

Increased availability on routers through detection of data path failures and subsequent recovery

Growing community of inventors

San Jose, CA, United States of America

Ashok K Kumar