Detecting an Unknown Attacks in Big Data Analysis System
Parul Jha · 2015
Recently, threat of previously unknown cyber-attacks are increasing because existing security systems are uanble to identify them. Previous cyber-attacks had simple occasions of leaking personal information by attacking the PC or to reduce the system. However, the goal of recent heavy blows. attacks has changed from leaking information and destruction of services to attacking largescale systems such as critical infrastructures and state agencies. Previous defense technologies to counter these attacks are based on patterns matching methods which are very limited. Because of this reality, In the event of new and previously unknown attack, detections rate become very low and false negative increases. To keep safe from these unknown attacks, which unable to detected with existing technology, We proposed new model based on big data analysis techniques that can extract information from a variety of sources to detect future attacks. Regarding the model on the basis of the future Advanced Persistent Threat (APT) detection and prevention system implementations.