Nicira, Inc.

Vmware, Inc.

Amit Chopra

Uday Suresh Masurekar

Vijay Ganti

Dexiang Wang

Chen Li

Bin Qian

Vasantha Kumar

Amit Vasant Patil

Daniel G Wing

Peixiao Lin

Christopher Corde

Jayant Jain

Anirban Sengupta

Ganesan Chandrashekhar

Jianjun Shen

Kaushal Bansal

Abhishek Goliya

Azeem Feroz

Srinivas Nimmagadda

Feng Pan

Qin Li

Kausum Kumar

Jingmin Zhou

Ayyappan Veeraiyan

Yang Ping

Bin Zan

Zhen Mo

Sanal Pillai

Aayush Saxena

Binyuan Chen

Sandesh Sawant

Jinqiang Yang

Shailesh Urhekar

Vinayak Shashikant Naik

Sandeep Kasbe

Ruimin Sun

Sanjay Sanghavi

Prasad Potdar

A method for visualizing network flows of a network is provided. The method monitors network flows between a group of machines in a network. The method associates identifiers with the monitored network flows. The method aggregates the monitored network flows into a set of groups based on the associated identifiers. The method displays a set of flow records for the each group of the set of groups.

Application assessment and visibility for micro-segmentation of a network deployment

Techniques are disclosed for securing traffic flowing across multi-tenant virtualized infrastructures using group key-based encryption. In one embodiment, an encryption module of a virtual machine (VM) host intercepts layer 2 (L2) frames sent via a virtual NIC (vNIC). The encryption module determines whether the vNIC is connected to a 'secure wire,' and invokes an API exposed by a key management module to encrypt the frames using a group key associated with the secure wire, if any. Encryption may be performed for all frames from the vNIC, or according to a policy. In one embodiment, the encryption module may be located at a layer farthest from the vNIC, and encryption may be transparent to both the VM and a virtual switch. Unauthorized network entities which lack the group key cannot decipher the data of encrypted frames, even if they gain access to such frames.

Infrastructure level LAN security

Certain embodiments described herein are generally directed to handling a hypervisor restart event in a distributed network system. Embodiments include receiving, by a central controller, a session identifier from a first hypervisor. Embodiments further include comparing, by the central controller, the session identifier to a stored session identifier associated with the first hypervisor. Embodiments further include determining, by the central controller based on the session identifier not matching the stored session identifier associated with the first hypervisor, that the first hypervisor has restarted. Embodiments further include updating, by the central controller, the stored session identifier associated with the first hypervisor to match the session identifier. Embodiments further include identifying, by the central controller, a second hypervisor that is associated with the first hypervisor. Embodiments further include sending, by the central controller, a notification to the second hypervisor that the first hypervisor has restarted.

Hypervisor restart handling mechanism using random session numbers

A novel method of providing virtual private access to a software defined data center (SDDC) is provided. The SDDC uses distributed VPN tunneling to allow external access to application services hosted in the SDDC. The SDDC includes host machines for providing computing and networking resources and a VPN gateway for providing external access to those resources. The host machines that host the VMs running the applications that VPN clients are interested in connecting performs the VPN encryption and decryption. The VPN gateway does not perform any encryption and decryption operations. The packet structure is such that the VPN gateway can read the IP address of the VM without decrypting the packet.

Distributed tunneling for VPN

Example methods are provided to perform traffic forwarding between geographically dispersed first site and second site and to support traffic forwarding via a trunk interface. In one example, the method may include receiving, by a first edge device at the first site, network traffic having a plurality of packets via a trunk interface of the first edge device from a virtual tunnel endpoint, the virtual tunnel endpoint having decapsulated the packets prior to communicating the packets through the trunk interface. The method may further include reading an overlay network identifier from each of the packets to identify a source overlay network of the received network traffic from the multiple overlay networks; modifying each of the packets to include a virtual local area network (VLAN) identifier; and forwarding modified network traffic to a second edge device at the second site to identify the destination network based on the VLAN identifier.

Traffic forwarding between geographically dispersed sites

A method for managing alarms in a virtual machine environment includes receiving alarm data related to a process and storing the alarm data in a database, where the alarm data comprises one or more features. The method further includes retrieving intended state information for the process and comparing the one more features of the alarm data to the intended state information to determine whether the alarm is an outlier. The method also includes computing a normal score for the alarm if the alarm is not an outlier, and computing an abnormal score for the alarm if the alarm is an outlier. The method also includes sending a notification for the alarm and the computed score.

Holo-entropy based alarm scoring approach

A computer security system provides for auto-populating process-connection whitelists using process wildcarding and connection wildcarding. Process wildcarding involves grouping process-connection requests together in a process* group without regard to the presence of distinct process arguments; in contrast, some process-connection requests may be separated both by process and by argument into process&#x25cf;argument groups. The process-connection requests may then be analyzed on a group-by-group basis to determine which processes can be mapped to wildcarded connection in a respective process-connection whitelist.

Automatic whitelisting using wildcarding

Certain embodiments described herein are generally directed to allocating security parameter index ('SPI') values to a plurality of endpoints in a network. The SPI values may be derived using an SPI derivation formula and a plurality of parameters. In some embodiments, the SPI values may be derived by an endpoint and in other embodiments by a server. Using the SPI derivation formula and the plurality of parameters enables endpoints and servers to instantaneously derive SPI values without the need for servers to store them.

Systems and methods for allocating SPI values

A security system for a customer computer site includes a cloud-based manager (CBM) and on-site components. The on-site components include a manager appliance, guest agents of the CBM installed within respective virtual machines, and host agents of the CBM installed on hypervisors on which the virtual machines. The guest agents have a many-to-one relationship with the host agents, which have a many-to-one relationship with the appliance. In a scenario, many guest agents may generate alarms and send them to the host agents. Each host agent consolidates alarms across the different virtual machines it hosts and pushes the consolidated alarms to the manager appliance. The appliance batch processes the consolidated alarms across host agents, and pushes the batched alarms to the CBM, which deduplicates the alarms and notifies an administrator.

Security system for managed computer system

A security system for a distributed application obtains and, in effect, preserves provisioning information for the purpose of auto-populating whitelists used to protect the distributed application from intrusions. The provisioning information identifies allowable connections on a software-package level. Entries mapping processes to connection destinations are added to a whitelist if a process requesting a connection results from execution of an executable file installed as part of a software package for which the connection was allowed according to the provisioning information.

Automatic whitelisting using provisioning information

Example methods are provided for a first endpoint to communicate with a second endpoint over a public network, the second endpoint being in a private network. The method may comprise detecting a chunk of data directly from an application executing on the first endpoint. The virtual adapter may emulate a transport protocol task offload to bypass transport protocol processing by a protocol stack of the first endpoint. The method may comprise processing the chunk of data to generate a chunk of processed data for transfer through a tunnel connecting the virtual adapter over the public network with a gateway associated with the private network and sending the chunk of processed data through a tunnel in a plurality of tunnel segments, wherein the gateway is configured to perform transport protocol processing to generate a plurality of transport protocol segments from the chunk of processed data for transfer to the second endpoint.

Transport protocol task offload emulation to detect chunks of data for communication with a private network

The subject matter described herein is generally directed towards generating security parameter index ('SPI') values at a plurality of endpoints (EP) in a network using time-based one-time passwords (TOTPs). In this manner, the SPI values are generated in a decentralized manner. The SPI values are used for distributed network encryption among the EPs.

Allocating security parameter index values using time-based one-time passwords

A virtual computing instance (VCI) is protected against security threats by a security manager, monitoring a behavior of a VCI over an observation period. The method further includes, storing by the security manager a digital profile in a first database, wherein the digital profile comprises information indicative of the behavior. The method further includes, accessing by a detection system, the digital profile from the first database, and accessing by the detection system, an intended state associated with VCI, wherein the intended state comprises information indicative of a behavior from a second VCI. The method further includes, comparing at least part of the digital profile to the at least part of the intended state. The method further includes, determining by the detection system, that the VCI contains a security threat when information indicative of a behavior in the digital profile is an outlier.

Entropy based security detection system

Growing community of inventors

Pune, India

Amit Chopra