Symantec Operating Corporation

Tsuen Wan Ngan

Guy Barry Owen Bunker

Systems and methods for detecting content similarity in email documents are disclosed. In one embodiment, a method comprises generating a first token value for each of a plurality of character sequences of a first email document, selecting a first subset of the plurality of character sequences based on the first token values, and generating one or more hash values corresponding to the selected first subset of character sequences. The method further comprises generating a second token value for each of a plurality of character sequences of a second email document, selecting a second subset of the plurality of character sequences based on the second token values, and generating one or more hash values corresponding to the selected second subset of character sequences. The method additionally comprises comparing the one or more hash values corresponding to the selected first subset with the one or more hash values corresponding to the selected second subset.

System and method for detecting content similarity within email documents by sparse subset hashing

Systems and methods for detecting email content containment are disclosed. In one embodiment, a method comprises generating a first set of hash values corresponding to a first email document, wherein the first set includes a respective hash value corresponding to each of a plurality of character sequences of the first email document. The method further comprises generating a second set of hash values corresponding to a second email document, wherein the second set include a respective hash value corresponding to each of a plurality of character sequences of the second email document, and determining whether the first set of hash values is a subset of the second set of hash values.

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Los Angeles, CA, United States of America

Tsuen Wan Ngan