Statistical and Mathematical Assessment of Cyber Law Enforcement Dynamics in India (2014–2022)

AbstractIn this digital era, cybercrime has emerged as a significant threat to security, economy, and societalwell-being, particularly in countries like India, where the rapid growth of internet usage has led to anincrease in cybercriminal activities. This study aims to examine the trends in cybercrime enforcementand legal measures in India, focusing on the period 2014-2022. The research evaluates the effectivenessof the existing legal frameworks, including the Information Technology Act, 2000, and its amendments,in combating modern cybercrimes like identity theft, financial fraud, and ransomware attacks. Byleveraging statistical data from the National Crime Records Bureau (NCRB), we employ mathematicalmodeling to predict the future trajectory of cybercrimes and their resolutions. Various models,including linear, logarithmic, cubic, exponential, and compound, were used to forecast the trends ofregistered cybercrimes, arrests, case resolutions, and acquittals. The findings reveal a significant risein cybercrime cases from 9,473 in 2014 to 65,706 in 2022, accompanied by increasing arrests and caseresolutions. However, the challenge of ensuring timely and fair convictions persists, with acquittal ratesfluctuating. The study concludes that non-linear models such as the Cubic model provide the best fit fordescribing and predicting the patterns in cybercrime cases, arrests, resolutions, and acquittals. Theseinsights can guide policymakers in adapting enforcement strategies, improving legal frameworks, andpreparing for future cybercrime challenges in India.