TY - GEN
T1 - Static Malware Analysis in Encrypted Domain
AU - Hwang, Taeyoon
AU - Yoon, Ji Won
N1 - Publisher Copyright:
© 2019 IEEE.
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 -