APPLICATIONS OF MACHINE LEARNING MODELS TO A BINARY SEARCH ENGINE BASED ON AN INVERTED INDEX OF BYTE SEQUENCES

摘要

Techniques for searching an inverted index associating byte sequences of a fixed length and files that contain those byte sequences are described herein. Byte sequences comprising a search query are determined and searched in the inverted index. In some examples, training data for training machine learning model(s) may be created using pre-featured data from the inverted index. In various examples, training data may be used to retrain a ML model until the ML model meets a criterion. In some examples, the trained ML model may be used to perform searches on the inverted index and classify files.