A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things
With the emergence of the Internet of Things (IoT), a large number of physical objects in daily life have been aggressively connected to the Internet. As the number of objects connected to networks increases, the security systems face a critical challenge due to the global connectivity and accessibi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/12/24188 |
| _version_ | 1798006909806051328 |
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| author | Doohwan Oh Deokho Kim Won Woo Ro |
| author_facet | Doohwan Oh Deokho Kim Won Woo Ro |
| author_sort | Doohwan Oh |
| collection | DOAJ |
| description | With the emergence of the Internet of Things (IoT), a large number of physical objects in daily life have been aggressively connected to the Internet. As the number of objects connected to networks increases, the security systems face a critical challenge due to the global connectivity and accessibility of the IoT. However, it is difficult to adapt traditional security systems to the objects in the IoT, because of their limited computing power and memory size. In light of this, we present a lightweight security system that uses a novel malicious pattern-matching engine. We limit the memory usage of the proposed system in order to make it work on resource-constrained devices. To mitigate performance degradation due to limitations of computation power and memory, we propose two novel techniques, auxiliary shifting and early decision. Through both techniques, we can efficiently reduce the number of matching operations on resource-constrained systems. Experiments and performance analyses show that our proposed system achieves a maximum speedup of 2.14 with an IoT object and provides scalable performance for a large number of patterns. |
| first_indexed | 2024-04-11T13:03:04Z |
| format | Article |
| id | doaj.art-bec43cc5f4154c99a9bb44ab6f024749 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:03:04Z |
| publishDate | 2014-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bec43cc5f4154c99a9bb44ab6f0247492022-12-22T04:22:53ZengMDPI AGSensors1424-82202014-12-011412241882421110.3390/s141224188s141224188A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of ThingsDoohwan Oh0Deokho Kim1Won Woo Ro2School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, KoreaSchool of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, KoreaSchool of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, KoreaWith the emergence of the Internet of Things (IoT), a large number of physical objects in daily life have been aggressively connected to the Internet. As the number of objects connected to networks increases, the security systems face a critical challenge due to the global connectivity and accessibility of the IoT. However, it is difficult to adapt traditional security systems to the objects in the IoT, because of their limited computing power and memory size. In light of this, we present a lightweight security system that uses a novel malicious pattern-matching engine. We limit the memory usage of the proposed system in order to make it work on resource-constrained devices. To mitigate performance degradation due to limitations of computation power and memory, we propose two novel techniques, auxiliary shifting and early decision. Through both techniques, we can efficiently reduce the number of matching operations on resource-constrained systems. Experiments and performance analyses show that our proposed system achieves a maximum speedup of 2.14 with an IoT object and provides scalable performance for a large number of patterns.http://www.mdpi.com/1424-8220/14/12/24188intrusion detection systemInternet of Things, pattern detectionWu–Manber |
| spellingShingle | Doohwan Oh Deokho Kim Won Woo Ro A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things Sensors intrusion detection system Internet of Things, pattern detection Wu–Manber |
| title | A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things |
| title_full | A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things |
| title_fullStr | A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things |
| title_full_unstemmed | A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things |
| title_short | A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things |
| title_sort | malicious pattern detection engine for embedded security systems in the internet of things |
| topic | intrusion detection system Internet of Things, pattern detection Wu–Manber |
| url | http://www.mdpi.com/1424-8220/14/12/24188 |
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