Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability

Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Janet Layne, Edoardo Serra, Marion Scheepers

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	American English
Title of host publication	2021 IEEE International Conference on Big Data (Big Data)
State	Published - 1 Jan 2021

Keywords

@inbook{6f5eacaa669949f4b88dbe7d2625a3dd,

title = "Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability",

keywords = "malware tactics classification, machine learning interpretability, graph representation learning, control flow growth",

author = "Jeffrey Fairbanks and Andres Orbe and Christine Patterson and Janet Layne and Edoardo Serra and Marion Scheepers",

year = "2021",

month = jan,

day = "1",

language = "American English",

booktitle = "2021 IEEE International Conference on Big Data (Big Data)",

}

TY - CHAP

T1 - Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability

AU - Fairbanks, Jeffrey

AU - Orbe, Andres

AU - Patterson, Christine

AU - Layne, Janet

AU - Serra, Edoardo

AU - Scheepers, Marion

PY - 2021/1/1

Y1 - 2021/1/1

KW - malware tactics classification

KW - machine learning interpretability

KW - graph representation learning

KW - control flow growth

UR - https://scholarworks.boisestate.edu/cs_facpubs/316

UR - https://doi.org/10.1109/BigData52589.2021.9671343

M3 - Chapter

BT - 2021 IEEE International Conference on Big Data (Big Data)

ER -