Cybercrime detection in communications: An Experimental case of cyber Sexual Harassment Accuracy detection on Twitter Using Supervised Learning Classifiers

Kenneth, Eze (2020) Cybercrime detection in communications: An Experimental case of cyber Sexual Harassment Accuracy detection on Twitter Using Supervised Learning Classifiers. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the growth of social media platforms and how it fits easily in our daily routine, the issue of cyber sexual harassment which is a disturbing online misbehavior with troubling consequences has been an emerging problem in schools, home and work places. Having to understand the implications of cyberbullying has become a major concern in our society. To assist in the investigation and preventive efforts, the introduction of systems automatically analysing acts of cyber sexual harassment with minimal false positives has become a common trend. Automatic detection of possible harassment or threats can assist law enforcement agencies in making informed decisions, provide behavioral patterns of the aggressor or forensic evidence through these social platforms. And this in turn, can curb escalation of these dangers in real life scenarios and create a more secure online experience. The research covers the use of supervised machine learning algorithms in the analysis of dataset obtained from digital media and form a comparison to determine the algorithm which gives the highest accuracy in detecting activity of sexual harassment online.
Keyword: Machine learning, online communication, cybercrime, online social network, Twitter

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Dan English
Date Deposited:	27 Jan 2021 16:20
Last Modified:	27 Jan 2021 16:20
URI:	https://norma.ncirl.ie/id/eprint/4499

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