SeCBD: The Application Idea from Study Evaluation of Ransomware Attack Method in Big Data Architecture

Numerous ransomware attack was launched at May 2017 since it become emerge as trending for new cybercrime business source income model. The attack to several Big Data Architecture causing problem to over 150 countries. Meanwhile, the research on prevention idea of this attack method are still under struggle. This make ransomware becoming a serious and growing cyber issue. In spite of that, the objective of this paper is to share the application ideas from crypto-ransomware attack method toward future prevention mechanism application to make the Big Data Architecture more immune from future ransomware attack. The method used in this paper is systematic-review. The result is application prevention mechanism named as SeCBD which abbreviation for “Secure Big Data”. The application idea that result from the systematic review (SeCBD) concludes that most of crypto-ransomware still have chance to disabled, detected, or prevented.