Bibliographic Details
| Title: |
The Evolution of Ransomware in Cybersecurity Space. |
| Authors: |
Mathew, Alex |
| Source: |
International Research Journal of Innovations in Engineering & Technology; Mar2022, Vol. 6 Issue 3, p88-90, 3p |
| Subject Terms: |
RANSOMWARE, INTERNET security, MACHINE learning, ALGORITHMS, INVOCATION |
| Abstract: |
This paper discusses the evolution of ransomware in the cybersecurity space determining the threats of ransomware. The ransomware detection proposed in this method is based on machine learning algorithms. The proposed method applies sequences of the system API invocation as inputs. If an API log file is less than 10kb, it will not be executed properly and removed. As for the n-values, the best results are achieved when the n-value is an average of four. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Research Journal of Innovations in Engineering & Technology is the property of International Research Journal of Innovations in Engineering & Technology (IRJIET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
Nájsť tento článok vo Web of Science