Permission and API Calls Based Hybrid Machine Learning Approach for Detecting Malicious Software in Android System.

MLA

Prabhavathy, M., et al. “Permission and API Calls Based Hybrid Machine Learning Approach for Detecting Malicious Software in Android System.” Journal of Multiple-Valued Logic & Soft Computing, vol. 37, no. 5/6, Nov. 2021, pp. 553–71. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edb&AN=153279958&authtype=sso&custid=ns315887.

APA

Prabhavathy, M., Maheswari, S. U., Saveeth, R., & Rubini, S. S. (2021). Permission and API Calls Based Hybrid Machine Learning Approach for Detecting Malicious Software in Android System. Journal of Multiple-Valued Logic & Soft Computing, 37(5/6), 553–571.

Chicago

Prabhavathy, M., S. Uma Maheswari, R. Saveeth, and S. Saranya Rubini. 2021. “Permission and API Calls Based Hybrid Machine Learning Approach for Detecting Malicious Software in Android System.” Journal of Multiple-Valued Logic & Soft Computing 37 (5/6): 553–71. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edb&AN=153279958&authtype=sso&custid=ns315887.