582 results about "ASCII" patented technology

The subject invention provides a unique system and method that facilitates management and navigation of various data objects by making use of a unique time-line based navigation tool. In particular, objects can organized into a plurality of bands based on their respective subject matter. Each band can be created to designate a particular topic. Objects are organized within the appropriate bands based in part on a time parameter such as a time or date that the object was created, for example. The navigation tool allows a user to navigate or browse through the bands and objects according to a desired time parameter or range of time. Zooming and other browsing options are available to the user to view objects of interest at varying levels of detail. The objects are represented as ASCII thumbnails that are operational. Thus, the content of any object can be modified directly via the thumbnail.

A multilingual Domain Name System allows users to use Domain Names in non-Unicode or ASCII encodings. An international DNS server (or iDNS server) receives multilingual DNS requests and converts them to a format that can be used in the conventional Domain Name System. When the iDNS server first receives a DNS request, it determines the encoding type of that request. It may do this by considering the bit string in the top-level domain (or other portion) of the Domain Name and matching that string against a list of known bit strings for known top-level domains of various encoding types. One entry in the list may be the bit string for ".com" in Chinese BIG5, for example. After the iDNS server identifies the encoding type of the Domain Name, it converts the encoding of the Domain Name to Unicode. It then translates the Unicode representation to an ASCII representation conforming to the universal DNS standard. This is then passed into a conventional Domain Name System, which recognizes the ASCII format Domain Name and returns the associated IP address.

Translation of text or messages provides a message that is more reliably or efficiently analyzed for purposes as, for example, to detect spam in email messages. One translation process takes into account statistics of erroneous and intentional misspellings. Another process identifies and removes characters or character codes that do not generate visible symbols in a message displayed to a user. Another process detects symbols such as periods, commas, dashes, etc., interspersed in text such that the symbols do not unduly interfere with, or prevent, a user from perceiving a spam message. Another process can detect use of foreign language symbols and terms. Still other processes and techniques are presented to counter obfuscating spammer tactics and to provide for efficient and accurate analysis of message content. Groups of similar content items (e.g., words, phrases, images, ASCII text, etc.) are correlated and analysis can proceed after substitution of items in the group with other items in the group so that a more accurate detection of “sameness” of content can be achieved. Dictionaries are used for spam or ham words or phrases. Other features are described.

Various features are provided for analyzing and processing email messages including determining if an email message is unwanted, and blocking unwanted messages. Email traffic is monitored by analyzing email messages addressed to known invalid email addresses. Email messages addressed to invalid email addresses are sent to a central control site for analysis. One embodiment tries to ensure that the distance between the invalid addresses and closest valid addresses is significant enough so that the invalid addresses are not inadvertently used for non-spam purposes. Another embodiment of the invention provides for distributed “thin client” processes to run on computer systems or other processing platforms. The thin clients emulate an open relay computer. Attempts at exploiting the apparent open relay computer are reported to a control center and the relay of email messages can be inhibited. Another embodiment provides for analysis and tuning of rules to detect spam and legitimate email. The approach adjusts various factors according to changing, current email data that is gathered from present, or recent, email traffic. Another embodiment takes into account statistics of erroneous and intentional misspellings. Groups of similar content items (e.g., words, phrases, images, ASCII text, etc.) are correlated and analysis can proceed after substitution of items in the group with other items in the group so that a more accurate detection of “sameness” of content can be achieved. Another embodiment uses authentication and security methods for validating email senders, detecting the sameness of messages, tracking the reputation of the sender, and tracking the behavior of the sender. Another embodiment profiles users to intelligently organize user data, including adapting spam detection according to a user's perceived interests.