Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzles-Reference-Cited by-同舟云学术

Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzles

Published:2019-08 Issue:13 Volume:13 Page:1988-1997
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Jamshidi Mojtaba¹,Esnaashari Mehdi²,Mohammad Darwesh Aso³,Meybodi Mohammad Reza⁴

Affiliation:

1. Faculty of Computer and Information Technology Engineering, Qazvin BranchIslamic Azad UniversityQazvinIran

2. Faculty of Computer EngineeringK. N. Toosi University of TechnologyTehranIran

3. Department of Information TechnologyUniversity of Human DevelopmentSulaymaniyahIraq

4. Computer Engineering and Information Technology DepartmentAmirkabir University of TechnologyTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2018.6036

Reference30 articles.

1. A dynamic ID assignment mechanism to defend against node replication attack in static wireless sensor networks;Jamshidi M.;Int. J. Inf. Vis.,2019

2. The Sybil Attack

3. NewsomeJ. ShiE. SongD.et al.: ‘The sybil attack in sensor networks: analysis and defenses’. Int. Symp. on Information Processing in Sensor Networks ACM Berkeley CA USA April2004 pp.259–268

4. MisraS. MyneniS.: ‘On identifying power control performing sybil nodes in wireless sensor networks using RSSI’. Global Telecommunications Conf. Miami FL USA December2010 pp.1–5

5. A new algorithm to defend against sybil attack in static wireless sensor networks using mobile observer sensor nodes;Jamshidi M.;Ad Hoc Sensor Wirel. Netw.,2019

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