In embodiments, the present invention may provide mal ware detection capabilities even
when the malware is written to evade gene identification and classification, such as when …

(57) ABSTRACT A system and method operable to identify malicious soft ware by extracting
one or more features disassembled from software suspected to be malicious software and …

In some embodiments, an anti-malware system accounts for (51) Int. Cl. benign differences
between non-malicious data objects. Such G06F2L/00(2013.01) as differences introduced …

Machine language instruction sequences of computer files are extracted and encoded into
standardized opcode sequences. The standardized opcodes in the sequences are of the …

Automated malware detection for application file packages using machine learning (eg,
trained neural network-based classifiers) is described. A particular method includes gen …

A method includes receiving, at a server, a first file attribute from a computing device, the first
file attribute associated with a file. The method also includes determining, based on the first …

7,853,742 7,873,947 7,917,897 8,006,237 8, 108,848 8,219,507 8,271,956 8,307,351
8.418, 137 8,418,160 8,479, 161 8,495,598 8,549,486 8,595,701 8,595,743 8,607.018 …

In accordance with an embodiment of the invention, a method can be provided for learning
behavior of a program. For example, a program can be executed while varying a plurality of …

BACKGROUND Preventing Software attacks is one of the most important challenges of
computer security. A significant class of attacks exploits Software faults to inject malicious …

ABSTRACT A method includes training a file classifier from one or more n-gram feature
vectors received from a plurality of binary files as input, where the one or more n-gram …