Static Malware Analysis in Encrypted Domain

Taeyoon Hwang; Ji Won Yoon

doi:10.1109/ICTC46691.2019.8939880

Static Malware Analysis in Encrypted Domain

Taeyoon Hwang, Ji Won Yoon

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

1 Citation (Scopus)

Abstract

In the cloud computing environments, a server can handle a lot of data which an individuals cannot process. Therefore, many users upload data to the server and receive the results after computing the uploaded data. In the case of malware detection, the user uploads the suspicious file to the server and checks the file. However, if the file being examined is a document, there is a vulnerability that the data will be exposed to the server. Therefore, In this paper, we propose a computational matching algorithm in encrypted domain. We apply this technique to actual malware detection using the homomorphic encryption. And we measure the detection speed of string signatures with varying lengths and the time to detect string signatures from real malware.

Original language	English
Title of host publication	ICTC 2019 - 10th International Conference on ICT Convergence
Subtitle of host publication	ICT Convergence Leading the Autonomous Future
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	47-52
Number of pages	6
ISBN (Electronic)	9781728108926
DOIs	https://doi.org/10.1109/ICTC46691.2019.8939880
Publication status	Published - 2019 Oct
Event	10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of Duration: 2019 Oct 16 → 2019 Oct 18

Publication series

Name	ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

Conference

Conference	10th International Conference on Information and Communication Technology Convergence, ICTC 2019
Country/Territory	Korea, Republic of
City	Jeju Island
Period	19/10/16 → 19/10/18

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Homomorphic Encryption
Malware detection
Pattern matching
String signature

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Management of Technology and Innovation
Safety, Risk, Reliability and Quality
Media Technology
Control and Optimization

Access to Document

10.1109/ICTC46691.2019.8939880

Cite this

Hwang, T., & Yoon, J. W. (2019). Static Malware Analysis in Encrypted Domain. In ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future (pp. 47-52). Article 8939880 (ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC46691.2019.8939880

Static Malware Analysis in Encrypted Domain. / Hwang, Taeyoon; Yoon, Ji Won.
ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future. Institute of Electrical and Electronics Engineers Inc., 2019. p. 47-52 8939880 (ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future).

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

Hwang, T & Yoon, JW 2019, Static Malware Analysis in Encrypted Domain. in ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future., 8939880, ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, Institute of Electrical and Electronics Engineers Inc., pp. 47-52, 10th International Conference on Information and Communication Technology Convergence, ICTC 2019, Jeju Island, Korea, Republic of, 19/10/16. https://doi.org/10.1109/ICTC46691.2019.8939880

Hwang T, Yoon JW. Static Malware Analysis in Encrypted Domain. In ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future. Institute of Electrical and Electronics Engineers Inc. 2019. p. 47-52. 8939880. (ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future). doi: 10.1109/ICTC46691.2019.8939880

Hwang, Taeyoon ; Yoon, Ji Won. / Static Malware Analysis in Encrypted Domain. ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 47-52 (ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future).

@inproceedings{1cae1d1873f24e4c8718c66015d9713f,

title = "Static Malware Analysis in Encrypted Domain",

abstract = "In the cloud computing environments, a server can handle a lot of data which an individuals cannot process. Therefore, many users upload data to the server and receive the results after computing the uploaded data. In the case of malware detection, the user uploads the suspicious file to the server and checks the file. However, if the file being examined is a document, there is a vulnerability that the data will be exposed to the server. Therefore, In this paper, we propose a computational matching algorithm in encrypted domain. We apply this technique to actual malware detection using the homomorphic encryption. And we measure the detection speed of string signatures with varying lengths and the time to detect string signatures from real malware.",

keywords = "Homomorphic Encryption, Malware detection, Pattern matching, String signature",

author = "Taeyoon Hwang and Yoon, {Ji Won}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th International Conference on Information and Communication Technology Convergence, ICTC 2019 ; Conference date: 16-10-2019 Through 18-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ICTC46691.2019.8939880",

language = "English",

series = "ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "47--52",

booktitle = "ICTC 2019 - 10th International Conference on ICT Convergence",

}

TY - GEN

T1 - Static Malware Analysis in Encrypted Domain

AU - Hwang, Taeyoon

AU - Yoon, Ji Won

PY - 2019/10

Y1 - 2019/10

N2 - In the cloud computing environments, a server can handle a lot of data which an individuals cannot process. Therefore, many users upload data to the server and receive the results after computing the uploaded data. In the case of malware detection, the user uploads the suspicious file to the server and checks the file. However, if the file being examined is a document, there is a vulnerability that the data will be exposed to the server. Therefore, In this paper, we propose a computational matching algorithm in encrypted domain. We apply this technique to actual malware detection using the homomorphic encryption. And we measure the detection speed of string signatures with varying lengths and the time to detect string signatures from real malware.

AB - In the cloud computing environments, a server can handle a lot of data which an individuals cannot process. Therefore, many users upload data to the server and receive the results after computing the uploaded data. In the case of malware detection, the user uploads the suspicious file to the server and checks the file. However, if the file being examined is a document, there is a vulnerability that the data will be exposed to the server. Therefore, In this paper, we propose a computational matching algorithm in encrypted domain. We apply this technique to actual malware detection using the homomorphic encryption. And we measure the detection speed of string signatures with varying lengths and the time to detect string signatures from real malware.

KW - Homomorphic Encryption

KW - Malware detection

KW - Pattern matching

KW - String signature

UR - http://www.scopus.com/inward/record.url?scp=85078232013&partnerID=8YFLogxK

U2 - 10.1109/ICTC46691.2019.8939880

DO - 10.1109/ICTC46691.2019.8939880

M3 - Conference contribution

AN - SCOPUS:85078232013

T3 - ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

SP - 47

EP - 52

BT - ICTC 2019 - 10th International Conference on ICT Convergence

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Information and Communication Technology Convergence, ICTC 2019

Y2 - 16 October 2019 through 18 October 2019

ER -

Static Malware Analysis in Encrypted Domain

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this