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US Patent 10185826 Parallel processing for malware detection

Patent 10185826 was granted and assigned to Malwarebytes on January, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Malwarebytes
Malwarebytes
1
Current Assignee
Malwarebytes
Malwarebytes
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
101858261
Patent Inventor Names
Sunil Mathew Thomas1
Michael Graham Malone1
Date of Patent
January 22, 2019
1
Patent Application Number
159270331
Date Filed
March 20, 2018
1
Patent Citations Received
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US Patent 11586741 Dynamic communication architecture for testing computer security application features
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US Patent 10990676 File collection method for subsequent malware detection
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US Patent 11711380 Systems and methods for parallel virus and malware scan between agents in a cloud environment
5
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US Patent 10354068 Anonymized application scanning for mobile devices
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US Patent 10560472 Server-supported malware detection and protection
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US Patent 10860717 Distributed system for file analysis and malware detection
Patent Primary Examiner
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Jacob Lipman
1
Patent abstract

Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.

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