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A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT
- Source :
- Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2019, 134, pp.198-206. ⟨10.1016/j.jpdc.2019.08.013⟩
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wireless Sensor Nodes ( SN s) that can be subject to attacks like any other piece of hardware and software. Unfortunately, an open and challenging issue is to what extent legitimate SN s can be trusted. This paper presents an energy-efficient, software-defined-network-based Mobile Code-driven Trust Mechanism ( MCTM ) for addressing this issue by assessing trust of SN s based on their forwarding behaviors. MCTM uses mobile code to visit the SN s based on pre-defined itineraries while collecting necessary details about these SN s in preparation for assessing their trust. The results gained from the experiments demonstrate a superior performance over a state-of-art technique that is energy-efficient management based on Software-Defined Network ( SDN ) for SN s. Message overhead is reduced by approximately 50%, which results in consuming less energy when detecting malicious SN s.
- Subjects :
- QA75
Mobile code
Computer Networks and Communications
Computer science
business.industry
020206 networking & telecommunications
02 engineering and technology
Theoretical Computer Science
[INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]
Software
Artificial Intelligence
Hardware and Architecture
Sensor node
0202 electrical engineering, electronic engineering, information engineering
ComputingMilieux_COMPUTERSANDSOCIETY
Overhead (computing)
Wireless
[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
020201 artificial intelligence & image processing
business
Internet of Things
ComputingMilieux_MISCELLANEOUS
Energy (signal processing)
Computer network
Subjects
Details
- ISSN :
- 07437315 and 10960848
- Volume :
- 134
- Database :
- OpenAIRE
- Journal :
- Journal of Parallel and Distributed Computing
- Accession number :
- edsair.doi.dedup.....41bac6d80c802c3eca3e2313360f7e15
- Full Text :
- https://doi.org/10.1016/j.jpdc.2019.08.013