Case Study: Artificial Intelligence and Machine Learning in Cybersecurity
R. Girija, G. Abiram, P. Durgadevi, Savita Savita · 2024
Advanced Persistent Threat (APT) is a legitimate risk to all things Internet. APT malware easily helps hackers to access malware-infected devices without having to log into the actual device and extract important information remotely. Domain Name System (DNS ) is used to attack a target computer through malware which is then controlled by the attacker. In this chapter, we propose a novel framework that is set at the system departure to proficiently and successfully identify APT malware diseases dependent on noxious DNS and movement investigation. This framework utilizes vindictive DNS investigation procedures to identify doubtful advanced persistent threat malware C&C spaces, and then examine movement in doubtful IP by utilizing mark-established and twist-established recognition innovation. In this chapter, 14 highlights have been listed based on solid information to showcase various procedures of malware-related DNS and the way in which they are utilized. It also proposes a system that helps to recognize the movement of traded-off customers who have been remotely controlled. We constructed a motor to process a notoriety slash for an IP address utilizing highlights.“