z-logo
open-access-imgOpen Access
Accurate and Robust Malware Analysis through Similarity of External Calls Dependency Graphs (ECDG)
Author(s) -
Cassius Puodzius,
Olivier Zendra,
Annelie Heuser,
Lamine Noureddine
Publication year - 2021
Publication title -
proceedings of the 17th international conference on availability, reliability and security
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3465481.3470115
Subject(s) - malware , computer science , malware analysis , cluster analysis , robustness (evolution) , speedup , static analysis , similarity (geometry) , data mining , benchmark (surveying) , call graph , theoretical computer science , machine learning , artificial intelligence , parallel computing , computer security , programming language , biochemistry , chemistry , geodesy , gene , geography , image (mathematics)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom