Research Some Algorithms in Machine Learning and Artificial Immune System, Apply to Set Up a Virus Detection System
The article learns about the components and mechanisms of artificial immune system (AIS). Three key problems of artificial immune system: pattern recognition, negative selection and clonal selection will be presented in essay thoroughly.
Based on the theoretical results, the authors implemented an adaptive virus detection system. As a smart virus detection system, it is not only capable of detecting known virus patterns but also have the ability to identify new threats. Two popular classifiers, RBF network and SVM, also are integrated to the system to increase the detection ability of the system.
Keywords: Anti-virus, artificial immune system, artificial intelligent.
Download Full-Text
ABOUT THE AUTHORS
Vu Thanh Nguyen
Professor, Doctor Dean of Software Engineering Faculty
Nguyen Vinh Kha
Lecturer
Nguyen Phýõng Anh
Lecturer
Vu Thanh Nguyen
Professor, Doctor Dean of Software Engineering Faculty
Nguyen Vinh Kha
Lecturer
Nguyen Phýõng Anh
Lecturer
