Abstract
In recent years, smart city services have moved the existence of people from the physical to the virtual world (cyberspace), e.g., online banking, e-commerce, telemedicine, etc. Along with the benefits of smart cities, the problems of the physical world are also moved to the cyber world, like cyberbullying in online social networks (OSN). Automated cyberbullying detection techniques need to be designed to remove the potential tragedies in OSNs. The recent advent of artificial intelligence (AI) models like machine learning and deep learning (DL) models can be employed for the detection of cyberbullying in the OSN. With this motivation, this paper develops an AI-enabled cyberbullying-free OSN (AICBF-ONS) technique in smart cities. The proposed AICBF-ONS technique involves chaotic salp swarm optimization (CSSO)-based feature selection technique to derive a useful set of features from the OSN data. In addition, stacked autoencoder model is used as a classification model to allocate appropriate class labels of the OSN data. To improve the detection performance of the SAE model, a parameter tuning process take place using the mayfly optimization (MFO) algorithm. An extensive experimental analysis ensured the supremacy of the proposed AICBF-ONS technique.
Highlights
A smart city is determined as a city which utilizes each connected data accessible nowadays to optimize the usage of constrained resource control and better understand its operation
This paper develops an artificial intelligence (AI)-enabled cyberbullying-free online social network (OSN) (AICBF-ONS) technique in smart cities to classify the existence of cyberbullying in the OSN
A wide range of simulations were developed against different datasets and the results are determined in terms of different aspects
Summary
A smart city is determined as a city which utilizes each connected data accessible nowadays to optimize the usage of constrained resource (determined as International Business Machines) control and better understand its operation. The smart city technique could help towns to enhance government and citizen engagement [1], operate more efficiently using the advantages of data-driven decision-making [2], improved transportation, and safer communication. It facilitates intelligent systems, flexible and decentralized to learn [3]. Smart city facilities have changed the existence of persons from physical to virtual world (cyberspace), for example, online shopping, online banking operation, medical services via telemedicine, and online ticket booking. E.g., bullying that is utilized to happen in physical world has currently changed to cyberspace via online social network (OSN) medias like Twitter, YouTube, Facebook, Reddit, and Instagram. OSN is a platform that provides users a place for engaging in social interactions, provides communication opportunities,
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More From: International Journal of Computational Intelligence Systems
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