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Wormhole Detection Using Encrypted Node IDs and Hop Counts in the Event Report of Statistical En-Route Filtering


Affiliations
1 Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea, Republic of
2 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Korea, Republic of
 

Wireless Sensor Network (WSN), there are low capacity, low cost, tiny sensor nodes, and sinks. Sensor nodes detect an event occurring in its surroundings and send data about the event to the sink. Sensor nodes have a limited transmission range and computational power. Since the wireless sensor network operates with limited resources than the ad hoc network, it is difficult to apply the defense method as it is, so research on a new defense method is needed. In a WSN, sensor nodes manage, monitor, and collect data for a specific environmental and physical application, and the collected data is transmitted to and used by a base station. Base stations are connected via the Internet and share data with users. Since the sensor node is composed of low power and low capacity, it is mainly used in an unattended environment, so it is easily exposed to various attacks and can be damaged. This type of network makes it difficult to detect wormhole attacks when they occur along with other attacks like false report injection attacks and Sybil attacks. Therefore, to prevent this, in this study, the hop count and the encrypted node ID are added in the report generation process of the statistical en-route filtering technique to detect wormhole attacks even when a wormhole attack occurs along with a false report injection attack to improve security.

Keywords

Wormhole Attack, Statistical En-Route Filtering, Wireless Sensor Network, Hop Counts, Encrypted Node IDs.
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  • Wormhole Detection Using Encrypted Node IDs and Hop Counts in the Event Report of Statistical En-Route Filtering

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Authors

Ga-Hyeon An
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea, Republic of
Tae-Ho Cho
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

Abstract


Wireless Sensor Network (WSN), there are low capacity, low cost, tiny sensor nodes, and sinks. Sensor nodes detect an event occurring in its surroundings and send data about the event to the sink. Sensor nodes have a limited transmission range and computational power. Since the wireless sensor network operates with limited resources than the ad hoc network, it is difficult to apply the defense method as it is, so research on a new defense method is needed. In a WSN, sensor nodes manage, monitor, and collect data for a specific environmental and physical application, and the collected data is transmitted to and used by a base station. Base stations are connected via the Internet and share data with users. Since the sensor node is composed of low power and low capacity, it is mainly used in an unattended environment, so it is easily exposed to various attacks and can be damaged. This type of network makes it difficult to detect wormhole attacks when they occur along with other attacks like false report injection attacks and Sybil attacks. Therefore, to prevent this, in this study, the hop count and the encrypted node ID are added in the report generation process of the statistical en-route filtering technique to detect wormhole attacks even when a wormhole attack occurs along with a false report injection attack to improve security.

Keywords


Wormhole Attack, Statistical En-Route Filtering, Wireless Sensor Network, Hop Counts, Encrypted Node IDs.

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DOI: https://doi.org/10.22247/ijcna%2F2021%2F209705