![](/image/LogoVKU.png)
Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này:
https://elib.vku.udn.vn/handle/123456789/2749
Nhan đề: | Classification of Ransomware Families Based on Hashing Techniques |
Tác giả: | Le, Tran Duc Le, Ba Luong Dinh, Truong Duy Pham, Van Dai |
Từ khoá: | Ransomware Import Hash Fuzzy Hash File Level Section Hashing |
Năm xuất bản: | thá-2023 |
Nhà xuất bản: | Springer Nature |
Tóm tắt: | The primary objective of this research is to propose a novel method for analyzing malware through the utilization of hashing techniques. The proposed approach integrates the use of Import Hash, Fuzzy Hash, and Section Level Fuzzy Hash (SLFH) to create a highly optimized, efficient, and accurate technique to classify ransomware families. To test the proposed methodology, we collected a comprehensive dataset from reputable sources and manually labelled each sample to augment the reliability and precision of our analysis. During the development of the proposed methodology, we introduced new steps and conditions to identify ransomware families, resulting in the highest performance level. The major contributions of this research include the combination of various hashing techniques and the proposal of a hash comparison strategy that facilitates the comparison of section hashes between ransomware and the pre-build database. |
Mô tả: | Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 37-49. |
Định danh: | https://link.springer.com/chapter/10.1007/978-3-031-36886-8_4 http://elib.vku.udn.vn/handle/123456789/2749 |
ISBN: | 978-3-031-36886-8 |
Bộ sưu tập: | CITA 2023 (International) |
Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.