Boseok Park
ABSTRACT
The IoT services have different types of security frameworks. As a result, it is difficult for security manager or attack response systems to understand the alerts and take appropriate actions. In this paper, we describes the analysis of security methods in the area of IoT and describes a mechanism that analyzes logs generated by IoT devices attacks. We models an event network based on a graph of interconnected logs between network devices and IoT gateways. Moreover, suggests an algorithm that correlate logs into single meaningful messages.
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Cross Ref
- P. Kim and S. W. Kim. 2017. Detecting Community Structure in Complex Networks Using an Interaction Optimization Process. International Journal of Physica A, 465(1), 525--542.Google ScholarCross Ref
- S. Ryu and S. W. Kim. 2019. Neighbor Recognition by User Relationships in Internet of Things Graph. In Proceeding of the HCI Korea 2019, 36, 163--166.Google Scholar
Index Terms
- Intrusion Detection on IoT Services using Event Sampling and Correlation (poster)
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