Exploring Applications and Implications of Big Data Predictive Analytics in Policing Cyberspace

As the world continues to become a data-driven society, the applications of using data extends beyond traditional uses and introduces further avenues for considering how we protect users’ data. Specifically, the increasing reliance on big data analytics in law enforcement has raised questions regarding privacy, individual rights, and the potential for bias in decision-making. This chapter examines how predictive analytics tools are employed to identify cyber threats, predict criminal activities and behaviours, and enhance proactive policing measures. Furthermore, it delves into the ethical challenges associated with the collection and analysis of vast amounts of personal data, emphasising the importance of balancing security needs with privacy concerns. GDPR, as a prominent data protection framework, is scrutinised in the context of policing cyberspace, evaluating its effectiveness in safeguarding the public’s rights while permitting necessary data processing for law enforcement. Moreover, assessing its ability to balance the safeguarding of users’ privacy rights whilst continuing to proactively police. By shedding light on the ethical and legal dimensions, this book chapter contributes to a comprehensive understanding of the complex interplay between big data analytics, policing strategies, and the protection of individual rights in the digital age.