Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack

Joint Authors

Feng, Liping
Wang, Hongbin

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-12

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Wang, Hongbin& Feng, Liping. 2020. Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1152802

Modern Language Association (MLA)

Wang, Hongbin& Feng, Liping. Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1152802

American Medical Association (AMA)

Wang, Hongbin& Feng, Liping. Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1152802

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1152802