Detecting Attacks Using Big Data with Process Mining

Abstract

Abstract- In current digital world, Security has become the major issue for the organization. Every day the amount of data is growing in the world. Processing and analyzing of the data is becoming the new challenge for the analyzers. For this purpose, big data is useful to process the high volume of data in less time. Current security tools like existing firewalls and Intrusion Detection Systems are still not able to detect and prevent the attacks and intrusions in full proof manner and giving many false alarms. Big Data analytics concept could be very useful for analyzing, detection and providing full security to the organization because of the ability of handling the large amount of data. In this paper, we have described the concept and the roll of big data. We have also proposed a model using process mining to generate the alerts in the case of attacks.
 
 Index Terms— Big Data, Process Mining, Intrusion Detection System, Logs.

The Role of Big Data Mining in Healthcare Applications

“…Medical big data can be used to improve healthcare quality, predict epidemics, increasing analytical abilities, cure disease, build better health profiles, improve quality of life, improving outcome, avoid preventable deaths, build better predictive models and reducing resource wastage [12][13][14][15][16]. Big data can be used in understanding the biology of a disease by integrating the available large volumes of data to build meaningful relational models.…”