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- W2076828450 abstract "In data management protocols for Ad-hoc Social Networks (ASNETs), involvement of selfish users can pose a serious threat to network performance and fairness. Therefore, it is essential to detect and mitigate their effects on other well behaving users. We contribute to this line of research by combining the benefits of users' social behavior (social tie) with a biologically inspired approach in ASNETs. We designed a bio-inspired scheme (BoDMaS) to detect and mitigate selfish users in replication operations. Its goals include providing greater accessibility and effective detection of selfish users. The proposed scheme not only guarantees accessibility and effective detection rate, but also ensures the reliability of replica allocation operations." @default.
- W2076828450 created "2016-06-24" @default.
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- W2076828450 date "2014-08-11" @default.
- W2076828450 modified "2023-09-27" @default.
- W2076828450 title "Poster" @default.
- W2076828450 cites W2073984107 @default.
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- W2076828450 doi "https://doi.org/10.1145/2632951.2635933" @default.
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