| Abstrakt: |
The study on "Security Forecasting for Detecting Organized Crimes" aims to explore the opportunities and challenges associated with detecting future crimes, particularly organized crimes and cybercrimes. The study examines various models for understanding organized crimes and identifies new strategies that can be implemented to combat them. The research methodology involves analyzing and critically studying existing security forecasting strategies and approaches used for detecting potential organized crimes, terrorism, human trafficking, and money laundering. The study also explores the impact of new technologies on these areas and the contemporary trends in preventing potential organized crimes. The research relies on secondary sources, such as books, case law reviews, statutes, international treaties, articles, and journals, and involves conducting intensive library research and using internet searches. The study concludes that security forecasting is crucial for detecting organized crimes and preserving security for individuals and societies. The study recommends the use of security surveillance and criminal analysis technologies, availability of sufficient resources, privacy and security standards, and enhanced cooperation, exchange of information, and sharing of experiences in the field of combating organized crime. Overall, the study highlights the importance of proactive measures and continuous improvement in the field of security forecasting for detecting organized crimes. [ABSTRACT FROM AUTHOR] |
