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A Novel Approach for Image based Cyberbullying Detection and Prevention

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Vijayakumar V., Hari Prasad D., Adolf P.

Vijayakumar V., Hari Prasad D. and Adolf P.. A Novel Approach for Image based Cyberbullying Detection and Prevention. International Journal of Computer Applications 183(22):41-45, August 2021. BibTeX

	author = {Vijayakumar V. and Hari Prasad D. and Adolf P.},
	title = {A Novel Approach for Image based Cyberbullying Detection and Prevention},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2021},
	volume = {183},
	number = {22},
	month = {Aug},
	year = {2021},
	issn = {0975-8887},
	pages = {41-45},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2021921591},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Now a day’s social media offer great communication opportunities and also it increases the addiction and raises vulnerability of young people to threatening situations online. The cyberbullying is one of the most affected cybercrime that has gained more attention in recent years. It is an aggressive, intentional behaviour that is carried out by a group or individual, repeatedly and over time against a victim. Most of the current works have focused on detecting cyberbullying based on textual information and very few are based on image cyberbullying. Due to inexpensive of the internet cost, image-based bullying is growing. To detect and prevent, many works have been done by researchers with novel technologies. Chatbot is a really valuable tool to help prevent cyberbullying which simplify the interaction between humans and computers. This paper proposed a Convolutional Neural Network (CNN) deep model to predict the cyber bullying. If a cyber bullying image is detected, it gives the suitable alert messages to the users, parents and caretaker through chatbot interface. The experiments are conducted on publicly available social media datasets and tested with telegram chat communication. This paper aims to direct future research on integrating multimodal data sources such as text and images to prevent cyberbullying issues.


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Cyber bullying Image detection, Image based deep learning Models, Cyberbullying prevention