Degree

Master of Business Administration Executive

Faculty / School

School of Business Studies (SBS)

Year of Award

2023

Advisor/Supervisor

Dr. Imran Khan, Assistant Professor, Department of Computer Science

Project Type

MBA Executive Research Project

Access Type

Restricted Access

Executive Summary

In the digital age of present times, use of discreet digital mass surveillance is increasingly prevalent. The impact of this technology on the security and privacy of people is a growing concern, particularly in Pakistan. The rise of digital oversight on people has directed us towards a substantial impact on security and privacy of people. This study, rooted in the field of cyber psychology (Wiederhold, 2010), aims to investigate this influence by exploring the experiences and perceptions of individuals. The purpose/objectives of our research study are twofold: RO-1: To explore the factors that influence responses to discreet digital mass surveillance in Pakistan. RO-2: To explore the perspective of individuals in Pakistan towards discreet digital mass surveillance. This research study aims to raise awareness about the influence of digital mass surveillance on security and privacy in Pakistan, particularly due to the rise of technologies like 5G and ICT. The absence of local and international laws on this subject complicates regulation efforts. Existing guidelines act as a barrier to implementing actions for public well-being. Additionally, Fifth Generation Warfare (5GW) poses a significant threat, using technology and social media platforms to manipulate public opinion and destabilize societies. Exploiting the pretext of national security, digital mass surveillance further jeopardizes privacy and security. The research study seeks to identify the need to safeguard privacy and civil liberties amidst growing surveillance practices and to overcome associated challenges. It aims to find a balance between individual measures and the roles of governments, organizations, and stakeholders in protecting these rights. This research paper employs quantitative methods to gather data on the experiences and perceptions of individuals exposed to digital mass surveillance in Pakistan. A survey questionnaire is distributed to a diverse and representative sample, collecting data to have responses of discreet surveillance on security and privacy. The collected data is analyzed using SPSS, a widely used statistical software package. SPSS is utilized for conducting Exploratory Factor Analysis (EFA) to discover underlying constructs and potential patterns in obtained data. K-means clustering is employed to group respondents based on shared characteristics or attitudes. Additionally, t-tests is performed to assess the significance of observed differences between various groups or variables. By utilizing x SPSS for data analysis, our study aims to provide comprehensive understandings into the effects of digital mass surveillance on privacy and security in Pakistan. The findings will contribute to policymakers' and other stakeholders' understanding of public perceptions toward digital mass surveillance and the importance of protecting privacy rights while maintaining security. To achieve this, the study recommends promoting transparency, establishing clear regulations, and implementing effective oversight mechanisms to ensure responsible and ethical surveillance practices. It also seeks to investigate the responses of masses towards implementation of digital mass surveillance through online social networks and other discreet means. The potential conflicts between national security justifications and the need

Pages

x, 136

Notes

Cybersecurity plays a critical role for both our organizations, Huawei and Pak-Navy. We, Junaid and Pariza have formed a formidable team, leveraging our mutual interests both personally and professionally. The completion of this report, “The Influence of Discreet Digital Mass Surveillance on the People of Pakistan”, is only possible with the valuable guidance, backing, and cooperation of many people. We express our deepest gratitude to Dr. Imran Khan for his unwavering guidance which steered us throughout the research work. His insights, constructive criticism, and constant encouragement have been instrumental in shaping this report. We are thankful to Dr. Amer Awan for his guidance and support in utilizing the SPSS software for quantitative data analysis. Additionally, we are indebted to our beloved family and acquaintances for their unending assistance and guidance while undertaking this project. Their presence and encouragement have been a source of strength and motivation. We are thankful to all those who have contributed in any way to the completion of this research, and we appreciate their invaluable contributions.

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