CYBER CRIME IN PAKISTAN; DETECTION AND PUNISHMENT MECHANISM

Ubair Anjum
Ubair Anjum
Contact Ubair Anjum

Pakistan Institute of Development Economics, Quaid-i-Azam University , Islamabad , Pakistan

Received: 25.10.2021.

Accepted: 20.11.2020. >>

Published: 30.11.2020.

Volume 2, Issue 2 (2020)

pp. 29-55;

https://doi.org/10.7251/sted0220029a

Abstract

“Cyber Crime in Pakistan; Detection and Punishment Mechanism” addresses improvement of public health and safety policies by focusing on enhancing knowledge about cybercrime, women victimization, the pattern of time spent on the internet, sexual harassment and cyber- bullying and the effect of socio- demographic factors on cybercrime. A quantitative, self-selected research study designed by the researcher and utilizing a voluntary, anonymous internet survey consisting of open and closed-ended questions targeted students attending large universities in Pakistan (N=400), based on Routine Activity Theory (RAT). The results were analyzed through SPSS via directing descriptive statistics, Cronbach’s alpha, and regression analysis to confirm the validity and internal consistency of data and verification of the hypotheses. Results depicted women represent the largest group impacted by cyber abuse. Single women, young adults, and employed students demonstrate increased rates of victimization. Frequent usage of social media may account for increased victimization for women. Time spent online and deficient knowledge of cyber protection measures are positively correlated with digital victimization. Respondents report on inadequate effective and affordable cyber protection and ineffective responses by agencies to cybercrime. Based on the results garnered, and supported by Public Policy Theory, Cybersecurity policies have been proposed to Pakistan’s government.

Keywords

References

Abrams, L. S. (2010). Sampling ‘Hard to Reach’ Populations in Qualitative Research: The Case of Incarcerated Youth. *Qualitative Social Work*, 9(4), 536–550.
Al-Jazeera. (2016). Cyber Harassment in Pakistan. How women are fighting back. The Stream. Digital Rights Foundation.
Alvi, M. H. (2016). A Manual for Selecting Sampling Techniques in Research.
Anderson, J., & Rainie, L. (2018). The future of well-being in a tech-saturated world.
Andrews, D., Nonnecke, B., & Preece, J. (2003). Electronic survey methodology: A case study in reaching hard to involve Internet users. *International Journal of Human-Computer Interaction*, 16(2), 185–210.

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