ICTACT Journal on Communication Technology

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Securing Cyberspace against Cyberbullying: A Wireless Network Security Perspective


Affiliations
1 Department of Computer Science and Engineering, Soban Singh Jeena University, India
2 Department of Computer Science, Soban Singh Jeena University, India
3 Department of Computer Science and Engineering, SCMS School of Engineering and Technology, India
4 Department of Business Administration, Swiss School of Management, Switzerland
     

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Cyberbullying has emerged as a pervasive issue in today's digitally connected society, with detrimental effects on individuals’ mental health and well-being. Despite increasing awareness and efforts to address cyberbullying, there remains a significant gap in utilizing wireless network security measures as a means of mitigation. The existing literature predominantly focuses on social and psychological aspects of cyberbullying, overlooking the potential role of wireless network security in prevention and intervention strategies. This research seeks to fill this gap by exploring the effectiveness of leveraging wireless network security to secure cyberspace against cyberbullying incidents. The research employs a multifaceted methodology, beginning with the estimation of expected rates and derivative risks of cyberbullying within wireless networks. These metrics are combined into a risk index value, which serves as a basis for prioritizing mitigation efforts. Additionally, the study explores the application of cyberspace modeling techniques, specifically Support Vector Machines (SVM), to enhance screening processes and identify potential cyberbullying incidents on Wireless Network Security (WNS). The findings of this research demonstrate the efficacy of integrating wireless network security measures into cyberbullying prevention strategies. By combining risk index values and leveraging SVM-based cyberspace modeling, the study identifies and prioritizes cyberbullying risks effectively. Furthermore, the implementation of wireless network security protocols contributes to a reduction in cyberbullying incidents, fostering safer digital environments for users.

Keywords

Cyberbullying, Wireless Network Security, Risk Assessment, Support Vector Machines (SVM), Prevention Strategies.
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  • Securing Cyberspace against Cyberbullying: A Wireless Network Security Perspective

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Authors

Neerav Nishant
Department of Computer Science and Engineering, Soban Singh Jeena University, India
Parul Saxena
Department of Computer Science, Soban Singh Jeena University, India
S.G. Surya
Department of Computer Science and Engineering, SCMS School of Engineering and Technology, India
Ullal Akshatha Nayak
Department of Computer Science and Engineering, Soban Singh Jeena University, India
Subharun Pal
Department of Business Administration, Swiss School of Management, Switzerland

Abstract


Cyberbullying has emerged as a pervasive issue in today's digitally connected society, with detrimental effects on individuals’ mental health and well-being. Despite increasing awareness and efforts to address cyberbullying, there remains a significant gap in utilizing wireless network security measures as a means of mitigation. The existing literature predominantly focuses on social and psychological aspects of cyberbullying, overlooking the potential role of wireless network security in prevention and intervention strategies. This research seeks to fill this gap by exploring the effectiveness of leveraging wireless network security to secure cyberspace against cyberbullying incidents. The research employs a multifaceted methodology, beginning with the estimation of expected rates and derivative risks of cyberbullying within wireless networks. These metrics are combined into a risk index value, which serves as a basis for prioritizing mitigation efforts. Additionally, the study explores the application of cyberspace modeling techniques, specifically Support Vector Machines (SVM), to enhance screening processes and identify potential cyberbullying incidents on Wireless Network Security (WNS). The findings of this research demonstrate the efficacy of integrating wireless network security measures into cyberbullying prevention strategies. By combining risk index values and leveraging SVM-based cyberspace modeling, the study identifies and prioritizes cyberbullying risks effectively. Furthermore, the implementation of wireless network security protocols contributes to a reduction in cyberbullying incidents, fostering safer digital environments for users.

Keywords


Cyberbullying, Wireless Network Security, Risk Assessment, Support Vector Machines (SVM), Prevention Strategies.

References