IoTProtect: Highly Deployable Whitelist-based Protection for Low-cost Internet-of-Things Devices
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- Wu Chun-Jung
- Yokohama National University
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- Tie Ying
- Yokohama National University
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- Hara Satoshi
- FUJI SOFT INCORPORATED
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- Tamiya Kazuki
- Yokohama National University
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- Fujita Akira
- Graduate School of Environment and Information Sciences, Yokohama National University Institute of Advanced Sciences, Yokohama National University
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- Yoshioka Katsunari
- Graduate School of Environment and Information Sciences, Yokohama National University Institute of Advanced Sciences, Yokohama National University
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- Matsumoto Tsutomu
- Graduate School of Environment and Information Sciences, Yokohama National University Institute of Advanced Sciences, Yokohama National University
Description
<p>In recent years, many Internet-of-Things (IoT) devices, such as home routers and Internet Protocol (IP) cameras, have been compromised through infection by malware as a consequence of weak authentication and other vulnerabilities. Malware infection can lead to functional disorders and/or misuse of these devices in cyberattacks of various kinds. However, unlike personal computers (PCs), low-cost IoT devices lack rich computational resources, with the result that conventional protection mechanisms, such as signature-based anti-virus software, cannot be used. In this study, we present IoTProtect, a light-weight, whitelist-based protection mechanism that can be deployed easily on existing commercial products with very little modification of their firmware. IoTProtect uses a whitelist to check processes running on IoT devices and terminate unknown processes periodically. Our experiments using four low-cost IoT devices and 4, 981 in-the-wild malware binaries show that IoTProtect successfully terminated 99.92% of the processes created by the binaries within 44 seconds after their infection with central processing unit (CPU) overhead of 24% and disk space overhead of 288KB.</p>
Journal
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- Journal of Information Processing
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Journal of Information Processing 26 (0), 662-672, 2018
Information Processing Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390845713000678144
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- NII Article ID
- 130007484385
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- ISSN
- 18826652
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed