Automated Synthesis of Semantic Malware Signatures using Maximum Satisfiability

Abstract

Author(s): Yu Feng, Osbert Bastani, Ruben Martins, Isil Dillig, Saswat Anand Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Slides Video Associated Event: NDSS Symposium 2017 Abstract: This paper proposes a technique for automatically learning semantic malware signatures for Android from very few samples of a malware family. The key idea underlying our technique … Continued