Zscaler, Inc.

Sriram Natarajan

Narinder Paul

Balakrishna Bhat Bayar

Julien Sobrier

Michael Andrew William Sutton

Karthikeyan Thamilarasu

Kailash Kailash

Jose Raphel

A cloud-based method, a behavioral analysis system, and a cloud-based security system can include a plurality of nodes communicatively coupled to one or more users, wherein the plurality of nodes each perform inline monitoring for one of the one or more users for security comprising malware detection and preclusion; and a behavioral analysis system communicatively coupled to the plurality of nodes, wherein the behavioral analysis system performs offline analysis for any suspicious content from the one or more users which is flagged by the plurality of nodes; wherein the plurality of nodes each comprise a set of known malware signatures for the inline monitoring that is periodically updated by the behavioral analysis system based on the offline analysis for the suspicious content.

Systems and methods for dynamic cloud-based malware behavior analysis

A method for automated evaluation of a SPAM filter rates a sender-receiver pair based on traffic information related to the sender-receiver pair. A SPAM filter intercepts electronic messages transmitted between the sender-receiver pair and classifies them as either SPAM or HAM. On comparing the rating for the sender-receiver pair and the classification for an electronic message between the sender-receiver pair, the method generates a metric indicating the reliability of the spam filter. Repeating these steps for more than one electronic messages and related sender-receiver pairs, the method produces a set of metrics. One or more of the metrics from the set of metrics are used to calculate an evaluation factor for evaluating the SPAM filter.

Method and system for automated evaluation of spam filters

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Norcross, GA, United States of America

Sriram Natarajan