Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Product Recommendation based on Sybil and Trusted Votes in Social Networks
View through CrossRef
Social Networks is a platform which is easily accessible by normal users worldwide. Online Social Networks facilitates users online to get registered with ease of speed and create their own accounts to communicate with the social world for information gathering. This platform allows everyone to get registered online irrespective of their social behaviour. Users here are creating duplicate accounts that is creating Sybil in the network. By this Sybil online Social Networks are suffering for different kinds of Sybil attacks online. In social networks user’s feedback and preferences play an important role in suggesting friends online or recommending products online. When collecting the feedback or preferences of any product online both Sybil user’s and real user’s data is considered as we are not differentiating the Sybil user or real user. From this products, recommended online will not have an efficient rating which would divert the buyers online. To over this problem we propose Sybil Community Detection Algorithm (SCD) and TrustRank Algorithm that bifurcates real user votes and Sybil users votes to fetch the efficient products online thus build secure online environment.
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Title: Product Recommendation based on Sybil and Trusted Votes in Social Networks
Description:
Social Networks is a platform which is easily accessible by normal users worldwide.
Online Social Networks facilitates users online to get registered with ease of speed and create their own accounts to communicate with the social world for information gathering.
This platform allows everyone to get registered online irrespective of their social behaviour.
Users here are creating duplicate accounts that is creating Sybil in the network.
By this Sybil online Social Networks are suffering for different kinds of Sybil attacks online.
In social networks user’s feedback and preferences play an important role in suggesting friends online or recommending products online.
When collecting the feedback or preferences of any product online both Sybil user’s and real user’s data is considered as we are not differentiating the Sybil user or real user.
From this products, recommended online will not have an efficient rating which would divert the buyers online.
To over this problem we propose Sybil Community Detection Algorithm (SCD) and TrustRank Algorithm that bifurcates real user votes and Sybil users votes to fetch the efficient products online thus build secure online environment.
Related Results
Social Constraint and Self‐Doubt: Mechanisms of Social Network influence on Resistance to Persuasion
Social Constraint and Self‐Doubt: Mechanisms of Social Network influence on Resistance to Persuasion
Those around us have a profound influence on our political attitudes and attitude strength, such that people whose social networks include a variety of perspectives have weaker, le...
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
A complex-valued Hopfield neural network (CHNN) with a multistate activation function is a multistate model of neural associative memory. The weight parameters need a lot of memory...
Fusion of Machine learning for Detection of Rumor and False Information in Social Network
Fusion of Machine learning for Detection of Rumor and False Information in Social Network
In recent years, spreading social media platforms and mobile devices led to more social data, advertisements, political opinions, and celebrity news proliferating fake news. Fake n...
E-College : an aid for E-Learning systems
E-College : an aid for E-Learning systems
The use of Android apps has significantly increased over the past few years, making android the most accepted and trusted operating system for smart devices. According to a survey,...
From 3D Scans to Networks: Using Swords to Understand Communities of Central European Bronze Age Smiths
From 3D Scans to Networks: Using Swords to Understand Communities of Central European Bronze Age Smiths
Abstract
This case study uses 3D scans of Central European Bronze Age swords (~1400-800BC) to recreate community networks of knowledge. 3D scans of 111 bronze swords were anal...
Formulating the Design Scope for the Base of the (Economic) Pyramid
Formulating the Design Scope for the Base of the (Economic) Pyramid
Base of the (economic) Pyramid (BoP) represents a population living under severe resource constraint s. Design for BoP has crucial responsibility of achieving the well-being throug...
Shared work values and team member effectiveness: The mediation of trustfulness and trustworthiness
Shared work values and team member effectiveness: The mediation of trustfulness and trustworthiness
Using a sample of 411 members and their respective leaders from 72 Taiwanese corporate teams, we conducted a cross-level study and found that 1) teammates' shared work values were ...
Noise Robust Projection Rule for Klein Hopfield Neural Networks
Noise Robust Projection Rule for Klein Hopfield Neural Networks
Multistate Hopfield models, such as complex-valued Hopfield neural networks (CHNNs), have been used as multistate neural associative memories. Quaternion-valued Hopfield neural net...