Adaptive and recursive filtering for sample submission
Abstract:
Disclosed are systems, apparatuses, computer readable media, and methods of using an adaptive (i.e., learning) client-server system to enhance the efficiency of sample submissions, e.g., the submission of samples of malware programs to a server dictionary. The server in such a system may accumulate a dictionary of known programs and/or portions of programs that have been submitted by many different client devices over time, representing all the various programs that they have encountered. If a portion of a particular file submission is already “available” to the server (i.e., it is a portion that the server has already analyzed and stored), it will be excluded from all future sample transmissions. The server will gradually accumulate a rich dictionary of common program portions, thus requesting transmission only of previously unseen portions. Such systems, apparatuses, computer readable media, and methods may therefore be used to reduce transmission times needed for future sample submissions.
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