Pradheep T, J.I. Sheeba, Yogeshwaran. T, S. Pradeep Devaneyan


 Cyberbullying has grown as an important societal challenge nowadays. The Cyberbullying affects both in terms of psychological and emotional means of a person. So there is a need to devise a method to detect and prevent cyberbullying in social networks. Most of the existing cyberbullying methods involves only text detection and few methods are available for analysing the visual detection. In this proposed work is going to detect multimodel cyberbullying such as audio, video, image along with text in the social networks. The cyberbully image will be detected using the computer vision algorithm which includes two methods like Image Similarity and Optical Character Recognition (OCR). The cyberbully video will be detected using the Shot Boundary detection algorithm where the video will be broken into frames and analysed using various methods in it. The proposed framework also support to identify the cyberbully audio in the social network. Finally the cyberbully data will be classified into Physical bullying, Social bullying and Verbal bullying using classifiers.



Cyberbully Detection, Social Networks, Physical bullying, Social bullying, Verbal bullying, Classifiers.

Full Text:



SheebaJ.I and A.Habiba, "Sentence Abusive Detection using Text Mining." CiiTInternational Journal of Data Mining and Knowledge Engineering, Vol 5.No.7, ISSN(Online):09749578,ISSN(Print):0974-9683,2013 pp: 288-291,2013.

Sheeba, J. I., and K. Vivekanandan. "Detection of Online Social Cruelty Attack from Forums." International Journal of Data Mining And Emerging Technologies 4, no. 2 (2014): 61-71.

Nandhini, B., and J. I. Sheeba. "Cyberbullying detection and classification using information retrieval algorithm." In Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015), p. 20. ACM, 2015

Nandhini, B. Sri, and J. I. Sheeba. "Online social network bullying detection using intelligence techniques." Procedia Computer Science 45 (2015): 485-492.

Kansara, Krishna B., and Narendra M. Shekokar. "A framework for cyberbullying detection in social network." International Journal of Current Engineering and Technology 5 (2015).

Al-garadi, Mohammed Ali, KasturiDewiVarathan, and Sri Devi Ravana. "Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network." Computers in Human Behavior 63 (2016): 433-443.

J.I.Sheeba,Dr.S.PradeepDevaneyan,“Cyberbully Detection Using Intelligent Techniques”,International Journal of Data Mining and Emerging Technologies,Vol 2.No.2,ISSN(Online):2249-3320, ISSN (Print):2249-3212,pp.86-94, November 2016.

Saravanaraj, A., J. I. Sheeba, and S. Pradeep Devaneyan. "Automatic Detection of Cyberbullying from Twitter." International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555, Vol.6, No.6, (2016), pp.27-32.

Awan, Imran. "Cyber-extremism: Isis and the power of social media." Society 54, no. 2 (2017): pp.138-149.

Singh, Vivek K., Souvick Ghosh, and Christin Jose. "Toward Multimodal Cyberbullying Detection." In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2090-2099. ACM, 2017.

Kim, Soyeon, Scott R. Colwell, Anna Kata, Michael H. Boyle, and KatholikiGeorgiades. "Cyberbullying victimization and adolescent mental health: evidence of differential effects by sex and mental health problem type." Journal of youth and adolescence (2017): 1-12.

Calvete, Esther, LiriaFernández-González, Joaquín M. González-Cabrera, and Manuel Gámez-Guadix. "Continued bullying victimization in adolescents: maladaptive schemas as a mediational mechanism." Journal of youth and adolescence (2017): 1-11.

Yubero, Santiago, Raúl Navarro, María Elche, Elisa Larrañaga, and AnastasioOvejero. "Cyberbullying victimization in higher education: An exploratory analysis of its association with social and emotional factors among Spanish students." Computers in Human Behavior (2017).

McCrae, Niall, Sheryl Gettings, and Edward Purssell. "Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review." Adolescent Research Review (2017): 1-16.

J.I.Sheeba,TataPrathyusha and R.Hemavathy, “Cyberbully Detection and Classification System Using Hybrid Techniques”, In Proceedings of the IEEE International Conference on International Conference On Telecommunication, Power Analysis And Computing Techniques (ICTPACT 2017),April 6-8,Tamil Nadu, India.

Mantoro, Teddy, Abdul MuisSobri, and Wendi Usino. "Optical Character Recognition (OCR) Performance in Server-Based Mobile Environment." In Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on, pp. 423-428. IEEE, 2013.

Bravo, Carlos J. Corrada, Rafael ÁlvarezBerríos, and T. Mitchell Aide. "Species-specific audio detection: a comparison of three template-based detection algorithms using random forests." PeerJ Computer Science 3 (2017): e113.

Deokar, Mohini, and RuhiKabra. "Video shot detection techniques brief overview." International Journal of Engineering Research and General Science 2, no. 6 (2014): 817-820.



  • There are currently no refbacks.

Copyright (c) 2018 International Journal of Advanced Research in Computer Science