Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack
This paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, d...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/1306084 |
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| _version_ | 1832554056677064704 |
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| author | Hongbin Wang Liping Feng |
| author_facet | Hongbin Wang Liping Feng |
| author_sort | Hongbin Wang |
| collection | DOAJ |
| description | This paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, different transmission energy will cause it to produce different RSSI readings. Furthermore, this kind of method cannot increase the burden on Wireless Sensor Network (WSN). It conducts an analysis between two receiving nodes, compares RSSI ratios to tickle the problem of time inconsistency of RSSI, and sets a threshold to detect Sybil by the emulation results. Research shows that the ratio value of different receiving nodes by using RSSI can resolve time difference because of the RSSI or unreliability which results from the asymmetry of transmission ratio. The thesis makes a comparison that the number of receiving nodes has an influence on attack effect. Utilizing the RSSI ratio values can exactly detect the Sybil attack. Emulation findings demonstrate that the detection method put forward by the thesis owns better security. |
| format | Article |
| id | doaj-art-fb65c0420567401f960455d3047fe042 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-fb65c0420567401f960455d3047fe0422025-02-03T05:52:34ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/13060841306084Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil AttackHongbin Wang0Liping Feng1Department of Computer Science, Xinzhou Teachers University, Xinzhou, Shanxi 034000, ChinaDepartment of Computer Science, Xinzhou Teachers University, Xinzhou, Shanxi 034000, ChinaThis paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, different transmission energy will cause it to produce different RSSI readings. Furthermore, this kind of method cannot increase the burden on Wireless Sensor Network (WSN). It conducts an analysis between two receiving nodes, compares RSSI ratios to tickle the problem of time inconsistency of RSSI, and sets a threshold to detect Sybil by the emulation results. Research shows that the ratio value of different receiving nodes by using RSSI can resolve time difference because of the RSSI or unreliability which results from the asymmetry of transmission ratio. The thesis makes a comparison that the number of receiving nodes has an influence on attack effect. Utilizing the RSSI ratio values can exactly detect the Sybil attack. Emulation findings demonstrate that the detection method put forward by the thesis owns better security.http://dx.doi.org/10.1155/2020/1306084 |
| spellingShingle | Hongbin Wang Liping Feng Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack Discrete Dynamics in Nature and Society |
| title | Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack |
| title_full | Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack |
| title_fullStr | Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack |
| title_full_unstemmed | Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack |
| title_short | Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack |
| title_sort | research on wireless sensor network security location based on received signal strength indicator sybil attack |
| url | http://dx.doi.org/10.1155/2020/1306084 |
| work_keys_str_mv | AT hongbinwang researchonwirelesssensornetworksecuritylocationbasedonreceivedsignalstrengthindicatorsybilattack AT lipingfeng researchonwirelesssensornetworksecuritylocationbasedonreceivedsignalstrengthindicatorsybilattack |