The prediction based deep-learning model detects the colluded nodes where a single Sybil sending many friend requests to other colluding Sybils. The collusion ...
In this paper we introduce a prediction system that can be leveraged in the manipulation of deep-learning solution model hence solving the problem of Sybil ...
In this paper we introduce a prediction system that can be leveraged in the manipulation of deep-learning solution model hence solving the problem of Sybil ...
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Nov 8, 2023 · A novel model for Sybil attack detection in online social network using optimal three-stream double attention network.
The proposed methodology results in a quantitative based machine learning Sybil attack detection methodology to analyze the performance of nodes . (PDF) Support ...
Nov 8, 2023 · A novel model GO-3DANB is proposed to utilize a three-stream, double attention network-modified BiLSTM (3S-A2 DenseNet-modified BiLSTM) with Gannet ...
A novel model for Sybil attack detection in online social network using optimal three-stream double attention network.
Al-Qurishi, et al., “A prediction system of Sybil attack in social network using deep-regression model” in Future Generation Computer Systems. (2017). [21] ...
Sybil attacks on such systems often lead to data loss, delay and loss of packets due to packet drop or wrong path. The proposed system analyzes throughput, ...
This paper surveys the evolution of sybil defense protocols that leverage the structural properties of the social graph underlying a distributed system to ...
Missing: regression | Show results with:regression