USING BIG DATA ANALYTICS TO PREDICT AND REDUCE CYBER CRIMES

The challenges of crime prevention in today's world are increasingly complex and require new technologies that can handle the huge amount of confidential data generated through different sources. Cybercrime is an important issue for research as it affects many mainstream sectors such as defences, social media, government, industry, private, military and scientific sectors. etc. Internet criminals use distorted or hacked data to capture their actions. The development of the unpredictability of digital interventions requires efficiency specialized and judicial examination. The cybercrime rate is increasing and challenging the investigative personnel. Crimerelated data is increasingly being generated nowadays and is often digital in nature. At present, data generated cannot be efficiently handled using traditional analysis techniques. Instead of using traditional data analysis techniques it would be useful to use big data analyses for this massive data. This paper will examine the analyse of such data that were generated largely using big data analyses to provide their analysis groups to the artificial neural network which in turn produces a crime prediction pattern. So The police department can use the prediction pattern to allocate its resources in order to reduce the crime rate