Reports Summarize Information Forensics and Security Findings from Chinese Academy of Sciences (Cruparamer: Learning On Parameter-augmented Api Sequences for Malware Detection)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on Information Technology - Information Forensics and Security are presented in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Learning on execution behaviour, i.e., sequences of API calls, is proven to be effective in malware detection. In this paper, we present CruParamer, a deep neural network based malware detection approach for Windows platform that performs learning on sequences of parameter-augmented APIs.”