An Automatted Approach Towards Combating Botnets
Botnets poses a dire threat to the devices present on the internet; current technological defenses against botnets
have failed to provide the desired results. This context proposes an scalable technique where a user system is equipped with
self-sustained healing system which detects and eliminates the botnet malware; the system is deployed on the end user level
focusing on the infecting malware rather than the complete botnet C&C, thus reducing the steep cost of monitoring the
whole botnet. The system derives its automated and scalable nature from external analytical units, to which it maintains a
constant connection. This analytic system is connected to multiple peers of the defined system. Both the system work
collaboratively thus providing a complete resource required to combat the botnet.