Abstract: A wireless loadbar weighing system is described, including a first loadbar and a second loadbar, where the first loadbar and the second loadbar are configured to support a weighing platform in use. Each of the first loadbar and the second loadbar are configured to measure force applied by the weighing platform, and produce first measured force data and second measured force data respectively. Each of the first loadbar and the second loadbar include a processing module including a wireless communication device. At least one of the first loadbar and the second loadbar is configured to wirelessly transmit, to a remote device for further processing and/or display, at least one of: the first measured force data and the second measured force data, and a weight measurement of a mass supported by the weighing platform determined based on the first measured force data and the second measured force data.

Abstract: Updates to projected data subsets may be ordered using conditional operations. When updates to a data set are received, a determination is made according to a schema for a projected subset of the data set as to whether the update is to be propagated to the projected subset of the data set. If the update is to be propagated, a comparison of a version identifier for the update may be made with a version identifier for the subset to determine whether performance of the update is consistent with an ordering of updates performed to the first data set. If the comparison indicates the performance of the update is consistent, then the update may be performed to the projected subset. If not, then the update may not be performed.

Abstract: A device receives data, identifies a context associated with the data, and identifies a script, within the data, associated with the context. The device parses the script to identify tokens, forms nodes based on the tokens, and assembles a syntax tree using the nodes. The device renames one or more identifiers associated with the nodes and generates a normalized text, associated with the script, based on the syntax tree after renaming the one or more identifiers. The device determines whether the normalized text matches a regular expression signature and processes the data based on determining whether the normalized text matches the regular expression signature. The device processes the data by a first process when the normalized text matches the regular expression signature or by a second process, different from the first process, when the normalized text does not match the regular expression signature.

Abstract: A device may receive network traffic. The device may identify candidate text included in a protocol field associated with the network traffic. The device may identify a set of candidate strings included in the candidate text. The device may identify a set of characters that precedes or follows a candidate string, of the set of candidate strings, in the candidate text. The device may determine, using a data structure, a frequency with which the set of characters precedes or follows the candidate string. The device may determine whether the candidate text includes random text based on the frequency. The device may perform an action on the network traffic based on determining whether the candidate text includes random text.

Abstract: A device may receive network traffic. The device may identify candidate text included in a protocol field associated with the network traffic. The device may identify a set of candidate strings included in the candidate text. The device may identify a set of characters that precedes or follows a candidate string, of the set of candidate strings, in the candidate text. The device may determine, using a data structure, a frequency with which the set of characters precedes or follows the candidate string. The device may determine whether the candidate text includes random text based on the frequency. The device may perform an action on the network traffic based on determining whether the candidate text includes random text.

Abstract: A device receives data, identifies a context associated with the data, and identifies a script, within the data, associated with the context. The device parses the script to identify tokens, forms nodes based on the tokens, and assembles a syntax tree using the nodes. The device renames one or more identifiers associated with the nodes and generates a normalized text, associated with the script, based on the syntax tree after renaming the one or more identifiers. The device determines whether the normalized text matches a regular expression signature and processes the data based on determining whether the normalized text matches the regular expression signature. The device processes the data by a first process when the normalized text matches the regular expression signature or by a second process, different from the first process, when the normalized text does not match the regular expression signature.

Abstract: A device receives data, identifies a context associated with the data, and identifies a script, within the data, associated with the context. The device parses the script to identify tokens, forms nodes based on the tokens, and assembles a syntax tree using the nodes. The device renames one or more identifiers associated with the nodes and generates a normalized text, associated with the script, based on the syntax tree after renaming the one or more identifiers. The device determines whether the normalized text matches a regular expression signature and processes the data based on determining whether the normalized text matches the regular expression signature. The device processes the data by a first process when the normalized text matches the regular expression signature or by a second process, different from the first process, when the normalized text does not match the regular expression signature.

Abstract: A device receives data, identifies a context associated with the data, and identifies a script, within the data, associated with the context. The device parses the script to identify tokens, forms nodes based on the tokens, and assembles a syntax tree using the nodes. The device renames one or more identifiers associated with the nodes and generates a normalized text, associated with the script, based on the syntax tree after renaming the one or more identifiers. The device determines whether the normalized text matches a regular expression signature and processes the data based on determining whether the normalized text matches the regular expression signature. The device processes the data by a first process when the normalized text matches the regular expression signature or by a second process, different from the first process, when the normalized text does not match the regular expression signature.