Abstract: Techniques to detect spam using language and a country of origin of an e-mail may include receiving an e-mail message for a recipient, detecting a country of origin for the e-mail message and detecting a language of the e-mail message. A technique may further include determining a country frequency with which the recipient communicates with the country of origin by e-mail, and a language frequency with which the recipient communicates in the language by e-mail. A technique may assign a first score to the message according to the country frequency, and a second score to the message according to the language frequency. The scores may used to determine whether the e-mail message is spam. Other embodiments are described and claimed.

Abstract: Techniques to transform regular expressions are described. An apparatus may comprise a processor circuit and a key terms identifying module operative on the processor circuit to generate a set of one or more regular expression key terms from enabled features of a regular expression based on a set of configuration parameters, and filter one or more electronic messages using the set of regular expression key terms. Other embodiments are described and claimed.

Abstract: Techniques to select and prioritize the application of spam filtering rules in a way that reduces processing time may include receiving an email message for a recipient at a spam filter and extracting email characteristics from the message. Global filtering rule statistics and a profile for the recipient may be retrieved. The technique may include selecting a subset of rules from a set of filtering rules according to the email characteristics, the global filtering rule statistics, and/or the recipient characteristics. The subset of rules may be prioritized and applied to the message from highest priority to lowest until a determination of whether the message is spam is reached. Other embodiments are described and claimed.

Abstract: Techniques to detect spam using language and a country of origin of an e-mail may include receiving an e-mail message for a recipient, detecting a country of origin for the e-mail message and detecting a language of the e-mail message. A technique may further include determining a country frequency with which the recipient communicates with the country of origin by e-mail, and a language frequency with which the recipient communicates in the language by e-mail. A technique may assign a first score to the message according to the country frequency, and a second score to the message according to the language frequency. The scores may used to determine whether the e-mail message is spam. Other embodiments are described and claimed.

Abstract: Unwanted communication detection and/or management features are providing, including using one or more commonality measures as part of generating templates for fingerprinting and comparison operations, but the embodiments are not so limited. An computing architecture of one embodiment includes components configured to generate templates and associated fingerprints for known unwanted communications, wherein the template fingerprints can be compared to unknown communication fingerprints as part of determining whether the unknown communications are based on similar templates and can be properly classified as unwanted or potentially unsafe communications for further analysis and/or blocking. A method of one embodiment operates to use a number of template fingerprints to detect and classify unknown communications as spam, phishing, and/or other unwanted communications.

Abstract: Techniques to transform regular expressions are described. An apparatus may comprise a processor circuit and a key terms identifying module operative on the processor circuit to generate a set of one or more regular expression key terms from enabled features of a regular expression based on a set of configuration parameters, and filter one or more electronic messages using the set of regular expression key terms. Other embodiments are described and claimed.