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