Machine Learning and Deep Learning for Malware and Ransomware Attacks in 6G Network
Ankita Sharma, Shalli Rani
Abstract
Present technology 5G deals with a variety of fields such as healthcare, industry, transportation making every domain smart. But security and privacy are important factors from previous to upcoming network 6G therefore an eye on the security and privacy domain is a must. In this paper, the main focus is on Malware and Ransomware attacks, and based on this, dealing with both of the attacks through Machine Learning and Deep Learning models and also by comparing both of them based on their accuracy. The collaboration of Machine and Deep Learning with the upcoming network 6G achieves the betterment in the security domain as it is the major field to work upon.
Topics & Concepts
RansomwareComputer scienceMalwareDeep learningComputer securityDomain (mathematical analysis)Artificial intelligenceMachine learningField (mathematics)Pure mathematicsMathematical analysisMathematicsAdvanced Malware Detection TechniquesNetwork Security and Intrusion DetectionSmart Grid Security and Resilience