A method for anti-ransomware testing based on reinforcement learning

Бен Гуррам Мохамед Тайеб

Публікація:
A method for anti-ransomware testing based on reinforcement learning

dc.contributor.author	Бен Гуррам Мохамед Тайеб
dc.date.accessioned	2022-08-13T18:51:29Z
dc.date.available	2022-08-13T18:51:29Z
dc.date.issued	2022
dc.description.abstract	In this document, we will run experiments to explore some future techniques that black hat hackers could use in the future to bypass anti ransomware protection, it is very important to predict and defend against such techniques before a real-world attack happens. Since ransomware attacks are very criticial especially that companies got very important documents encrypted, and it is worse if they don’t have backups, individuals lose in most cases important personal files, and in most cases, they don’t have backups	uk_UA
dc.identifier.citation	Бен Гуррам Мохамед Тайеб A method for anti-ransomware testing based on reinforcement learning : пояснювальна записка до атестаційної роботи здобувача вищої освіти на другому (магістерському) рівні, спеціальність 125 Кібербезпека / Бен Гуррам Мохамед Тайеб ; М-во освіти і науки України, Харків. нац. ун-т радіоелектроніки. – Харків, 2022. – 89 с.	uk_UA
dc.identifier.uri	https://openarchive.nure.ua/handle/document/20846
dc.language.iso	en	uk_UA
dc.subject	штучний інтелект	uk_UA
dc.subject	машинне навчання	uk_UA
dc.subject	DQN	uk_UA
dc.subject	DQL	uk_UA
dc.subject	QL	uk_UA
dc.title	A method for anti-ransomware testing based on reinforcement learning	uk_UA
dc.type	Other	uk_UA
dspace.entity.type	Publication