Palo Alto Research Center Inc.

Emiliano De Cristofaro

Ersin Uzun

Julien F Freudiger

Marshall Bern

Alejandro Enrique Brito

Golam Babil Sarwar

One embodiment of the present invention provides a system for stable selection of collaborating partners for exchanging security data. During operation, the system receives vectors of collaboration values from a plurality of entities. A collaboration value is a measure of an expected benefit of collaborating with a respective entity. The system sorts each of the vectors by the collaboration values of the respective vector. The system then determines matching entities given a number of partners wanted by each organization in N. The system may add matching entities to lists of collaborating partners given the number of partners wanted by each organization in N. Subsequently, the system sends the lists of collaborating partners to facilitate exchanging security data with partners in the list of collaborating partners.

Methods for selection of collaborators for online threat mitigation

A portable proxy for security management and privacy protection and methods of use are provided. The proxy establishes a connection to a user device. The proxy also establishes a secure connection to a virtual private network (VPN), performs authentication of the proxy to the VPN, and upon successful completion of the proxy authentication provides access to the VPN through the secure connection user credentials. Once the VPN accepts the credentials, the proxy routes at least a portion of Internet traffic between the user device and the VPN through the secure connection and the connection to the user device. The proxy can also establish a secure connection to an anonymizing service and route all Internet traffic of the user device through the anonymizing service using the secure connection and the connection to the user device.

Portable proxy for security management and privacy protection and method of use

One embodiment of the present invention provides a system to facilitate collaboration for mitigating network threats. During operation, the system receives encrypted data sets from a plurality of entities. The data sets including data describing threats to network security. The system performs privacy-preserving operations on the encrypted data sets, such as private set intersection. The system then computes one or more metrics based on results of the private set intersection computations. The system may generate a similarity matrix based on the one or more metrics, and returns one or more similarity values from the similarity matrix to one or more entities of the plurality of entities.

Methods for centralized privacy-preserving collaborative threat mitigation

One embodiment of the present invention provides a system for privacy-preserving sharing of data for secure collaboration. During operation, the system obtains a first set of data describing network events associated with one or more network addresses. Next, the system negotiates with a potential partner to determine a metric for deciding whether to share data. The potential partner is associated with a second set of data describing network events. The system then computes a value for the metric in a privacy-preserving way, based on the first set of data and the second set of data. Subsequently, the system determines whether the metric value exceeds a predetermined threshold, and, responsive to determining that the metric value exceeds the predetermined threshold, the system shares the first set of data with the potential partner, while controlling how the data should be shared to optimize benefits and risks of collaboration.

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London, United Kingdom

Emiliano De Cristofaro