Abstract
Generally wireless sensor networks rely of many-to-one communication approach for data gathering. This approach is extremely susceptible to sinkhole attack, where an intruder attracts surrounding nodes with unfaithful routing information, and subsequently presents selective forwarding or change the data that carry through it. A sinkhole attack causes an important threat to sensor networks and it should be considered that the sensor nodes are mostly spread out in open areas and of weak computation and battery power. In order to detect the intruder in a sinkhole attack this paper suggests an algorithm which firstly finds a group of suspected nodes by analyzing the consistency of data. Then, the intruder is recognized efficiently in the group by checking the network flow information. The proposed algorithm's performance has been evaluated by using numerical analysis and simulations. Therefore, accuracy and efficiency of algorithm would be verified.
Original language | English |
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Title of host publication | International Conference on Space Science and Communication, IconSpace |
Pages | 361-365 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 9 Dec 2013 |
Event | 3rd IEEE International Conference on Space Science and Communication - Melaka, Malaysia Duration: 1 Jul 2013 → 3 Jul 2013 Conference number: 3 |
Publication series
Name | International Conference on Space Science and Communication, IconSpace |
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ISSN (Print) | 2165-4301 |
ISSN (Electronic) | 2165-431X |
Conference
Conference | 3rd IEEE International Conference on Space Science and Communication |
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Abbreviated title | IconSpace 2013 |
Country/Territory | Malaysia |
City | Melaka |
Period | 1/07/13 → 3/07/13 |