Abstract: A machine learning system includes multiple machine learning models. A target object, such as a file, is scanned for machine learning features. Context information of the target object, such as the type of the object and how the object was received in a computer, is employed to select a machine learning model among the multiple machine learning models. The machine learning model is also selected based on threat intelligence, such as census information of the target object. The selected machine learning model makes a prediction using machine learning features extracted from the target object. The target object is allowed or blocked depending on whether or not the prediction indicates that the target object is malicious.

Abstract: A thermoplastic vulcanizate is provided, including 10-50 parts by weight of a nylon plastic and 50-90 parts by weight of a cross-linked acrylic rubber polymer. The cross-linked acrylic rubber polymer is dispersed in the Nylon plastic. The cross-linked acrylic rubber polymer is formed by a modified acrylic rubber polymer having a hydrolysable silane group through crosslinking in the presence of water. In the modified acrylic rubber polymer having a hydrolysable silane group, a linkage group represented by formula (I) or formula (II) is between a backbone and the hydrolysable silane group: wherein R1 is H or —OH; R2 is H, —Z?—Si(OR?)3 or C1-C10 hydrocarbon group; R3 is H or C1-C10 hydrocarbon group; Z? is a divalent bridging group; R? is individually C1-C10 hydrocarbon group. A manufacturing method of the thermoplastic vulcanizate is also provided.

Abstract: A thermoplastic vulcanizate is provided, including 10-50 parts by weight of a nylon plastic and 50-90 parts by weight of a cross-linked acrylic rubber polymer. The cross-linked acrylic rubber polymer is dispersed in the Nylon plastic. The cross-linked acrylic rubber polymer is formed by a modified acrylic rubber polymer having a hydrolysable silane group through crosslinking in the presence of water. In the modified acrylic rubber polymer having a hydrolysable silane group, a linkage group represented by formula (I) or formula (II) is between a backbone and the hydrolysable silane group: wherein R1 is H or —OH; R2 is H, —Z?—Si(OR?)3 or C1-C10 hydrocarbon group; R3 is H or C1-C10 hydrocarbon group; Z? is a divalent bridging group; R? is individually C1-C10 hydrocarbon group. A manufacturing method of the thermoplastic vulcanizate is also provided.

Abstract: Malicious code is detected in binary data by disassembling machine language instructions of the binary data into assembly language instructions. Opcodes of the assembly language instructions are normalized and formed into groups, with each group being a subsequence of a sequence of machine language instructions of the binary data. The subsequence is delimited by a predetermined machine language instruction. Locality-sensitive hashes are calculated for each group and compared to locality-sensitive hashes of known malicious machine language instructions to detect malicious code in the binary data.