Dmitri Alperovitch

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Image spam poses a great threat to email communications due to high volumes, bigger bandwidth requirements, and higher processing requirements for filtering. We present a feature extraction and classification framework that operates on features that can be extracted from image files in a very fast fashion. The features considered are thoroughly analyzed(More)
Today a common goal in the area of email security is to provide protection from a wide variety of threats by being more predictive instead of reactive and to identify legitimate messages in addition to illegitimate messages. There has been previous work in the area of email reputation systems that can accomplish these broader goals by collecting, analyzing,(More)
Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the solution. Such systems extract Email senders behavior data based on global sending distribution, analyze them and assign a value of trust to each IP address sending email messages. We(More)
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems that can assign a value of trust to each IP address sending email messages. By analyzing the query patterns of each node utilizing reputation information, reputation systems can(More)