Abstract: A method for constructing behavioral software signatures. The method includes: embedding execution traces of a set of software in a vector space, an execution trace of a software agent including at least one event and being representative of the execution of the software, the embedding representing an event of the execution trace by a vector encoding a context for occurrence of the event; partitioning the vectors associated with the software of the set to generate a data group representative of a behavior, a behavioral label being associated with the data group; associating a behavioral label with a vector, which is representative of the data group to which the vector belongs, and associating a trace of behavioral labels with a trace of vectors, the trace of labels being representative of execution of a software agent, and extracting in the trace of labels at least one behavioral signature associated with the software.

Abstract: A method for constructing behavioral software signatures. The method includes: embedding execution traces of a set of software in a vector space, an execution trace of a software agent including at least one event and being representative of the execution of the software, the embedding representing an event of the execution trace by a vector encoding a context for occurrence of the event; partitioning the vectors associated with the software of the set to generate a data group representative of a behavior, a behavioral label being associated with the data group; associating a behavioral label with a vector, which is representative of the data group to which the vector belongs, and associating a trace of behavioral labels with a trace of vectors, the trace of labels being representative of execution of a software agent, and extracting in the trace of labels at least one behavioral signature associated with the software.

Abstract: A method is provided to anonymize “initial” data stored in a database of a computer system and resulting from aggregating personal data relating to a plurality of individuals. The method includes: an identification act identifying in the initial data a set of data that is “sensitive” that would be affected by personal data relating to one individual being added to or removed from the database; a partitioning act partitioning the sensitive data set into a plurality of subsets as a function of a sensitivity level of the sensitive data; a determination act determining a sensitivity level for each subset; and an anonymization act anonymizing the initial data and including, for each subset, adding noise to the sensitive data of that subset with a noise level that depends on the sensitivity level determined for the subset.

Abstract: A method is provided to anonymize “initial” data stored in a database of a computer system and resulting from aggregating personal data relating to a plurality of individuals. The method includes: an identification act identifying in the initial data a set of data that is “sensitive” that would be affected by personal data relating to one individual being added to or removed from the database; a partitioning act partitioning the sensitive data set into a plurality of subsets as a function of a sensitivity level of the sensitive data; a determination act determining a sensitivity level for each subset; and an anonymization act anonymizing the initial data and including, for each subset, adding noise to the sensitive data of that subset with a noise level that depends on the sensitivity level determined for the subset.