IP addresses may help identify the source of anonymous and malicious e-mails, but they can only tell authorities where the message originated, without providing many details on the individual who authored them. Using some pretty innovative analytics, researchers at Concordia University have just come up with a new technique that could help investigators determine the precise identity of these rogue agents.
Led by Prof. Benjamin Fung, the team developed a method based on pattern identification techniques used in speech recognition and data mining. The first step involves analyzing a suspect’s e-mails by identifying patterns in other messages that he or she has sent. Once these patterns are identified, investigators can filter any trends that appear in e-mails sent by other suspects.
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