EFFICIENT WAY OF RECOGNIZING AND HANDLING MALWARE PROPAGATION IN LARGE SCALE NETWORKS

Abstract

There have been significant efforts in the field of cyber security to understand the malware and try to break down the bad effects that are associated with a malware. Quite recently, the extent of destruction through the WannaCry Ransomware was seen throughout the world where mission critical and highly confidential data was held at stake. Understanding the complex code of the malware is quite a tedious a task and cannot be done before hand as each malware varies quite differently, so instead, in this idea what we are proposing is to monitor the propagation of a malware and analyze the weak points in the network structure so that this can be modified and improved to prevent and delay the propagation of a malware so that the recovery systems have enough time to ensure that the infected systems return to their normal state.