Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features

Daniel Chong; Junjie Zhang; Nathaniel Boland; Lingwei Chen

doi:10.1007/978-981-97-1274-8_29

Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features

Daniel Chong, Junjie Zhang, Nathaniel Boland, Lingwei Chen

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

Original language	English
Title of host publication	Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers
Editors	Guojun Wang, Haozhe Wang, Geyong Min, Nektarios Georgalas, Weizhi Meng
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	450-461
Number of pages	12
ISBN (Print)	9789819712731
DOIs	https://doi.org/10.1007/978-981-97-1274-8_29
State	Published - 2024
Externally published	Yes
Event	3rd International Conference on Ubiquitous Security, UbiSec 2023 - Exeter, United Kingdom Duration: Nov 1 2023 → Nov 3 2023

Publication series

Name	Communications in Computer and Information Science
Volume	2034 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd International Conference on Ubiquitous Security, UbiSec 2023
Country/Territory	United Kingdom
City	Exeter
Period	11/1/23 → 11/3/23

ASJC Scopus Subject Areas

General Computer Science
General Mathematics

Keywords

Binary Analysis
Embedded Systems
Image Base Address
Microcontrollers
Reverse Engineering

Access to Document

10.1007/978-981-97-1274-8_29

Cite this

Chong, D., Zhang, J., Boland, N., & Chen, L. (2024). Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. In G. Wang, H. Wang, G. Min, N. Georgalas, & W. Meng (Eds.), Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers (pp. 450-461). (Communications in Computer and Information Science; Vol. 2034 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-1274-8_29

Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. / Chong, Daniel; Zhang, Junjie; Boland, Nathaniel et al.
Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers. ed. / Guojun Wang; Haozhe Wang; Geyong Min; Nektarios Georgalas; Weizhi Meng. Springer Science and Business Media Deutschland GmbH, 2024. p. 450-461 (Communications in Computer and Information Science; Vol. 2034 CCIS).

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

Chong, D, Zhang, J, Boland, N & Chen, L 2024, Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. in G Wang, H Wang, G Min, N Georgalas & W Meng (eds), Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers. Communications in Computer and Information Science, vol. 2034 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 450-461, 3rd International Conference on Ubiquitous Security, UbiSec 2023, Exeter, United Kingdom, 11/1/23. https://doi.org/10.1007/978-981-97-1274-8_29

Chong D, Zhang J, Boland N, Chen L. Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. In Wang G, Wang H, Min G, Georgalas N, Meng W, editors, Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 450-461. (Communications in Computer and Information Science). doi: 10.1007/978-981-97-1274-8_29

Chong, Daniel ; Zhang, Junjie ; Boland, Nathaniel et al. / Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features. Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers. editor / Guojun Wang ; Haozhe Wang ; Geyong Min ; Nektarios Georgalas ; Weizhi Meng. Springer Science and Business Media Deutschland GmbH, 2024. pp. 450-461 (Communications in Computer and Information Science).

@inproceedings{a44fd019cca348209e69aa9c933145ef,

title = "Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features",

keywords = "Binary Analysis, Embedded Systems, Image Base Address, Microcontrollers, Reverse Engineering",

author = "Daniel Chong and Junjie Zhang and Nathaniel Boland and Lingwei Chen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 3rd International Conference on Ubiquitous Security, UbiSec 2023 ; Conference date: 01-11-2023 Through 03-11-2023",

year = "2024",

doi = "10.1007/978-981-97-1274-8_29",

language = "English",

isbn = "9789819712731",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "450--461",

editor = "Guojun Wang and Haozhe Wang and Geyong Min and Nektarios Georgalas and Weizhi Meng",

booktitle = "Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers",

}

TY - GEN

T1 - Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features

AU - Chong, Daniel

AU - Zhang, Junjie

AU - Boland, Nathaniel

AU - Chen, Lingwei

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

KW - Binary Analysis

KW - Embedded Systems

KW - Image Base Address

KW - Microcontrollers

KW - Reverse Engineering

UR - http://www.scopus.com/inward/record.url?scp=85189611627&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85189611627&partnerID=8YFLogxK

U2 - 10.1007/978-981-97-1274-8_29

DO - 10.1007/978-981-97-1274-8_29

M3 - Conference contribution

AN - SCOPUS:85189611627

SN - 9789819712731

T3 - Communications in Computer and Information Science

SP - 450

EP - 461

BT - Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers

A2 - Wang, Guojun

A2 - Wang, Haozhe

A2 - Min, Geyong

A2 - Georgalas, Nektarios

A2 - Meng, Weizhi

PB - Springer Science and Business Media Deutschland GmbH

T2 - 3rd International Conference on Ubiquitous Security, UbiSec 2023

Y2 - 1 November 2023 through 3 November 2023

ER -