期刊名称:Journal of Theoretical and Applied Information Technology
印刷版ISSN:1992-8645
电子版ISSN:1817-3195
出版年度:2018
卷号:96
期号:13
出版社:Journal of Theoretical and Applied
摘要:The evolution of malware possesses serious threat ever since the concept of malware took root in the technology industry. The malicious software which is specifically designed to disrupt, damage, or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective. To solve the problem, this paper proposed the integrated machine learning methods consist of J48 and JRip in detecting the malware accurately. The integrated classifier algorithm applied to examine, classify and generate rules of the pattern and program behaviour of system call information. The outcome then revealed the integrated classifier of J48 and JRip outperforming the other classifier with 100% detection of attack rate.
关键词:Malware Detection; System Call; Machine Learning; Classifier; J48 and JRip