We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...
Mohammad M. Masud, Latifur Khan, Bhavani M. Thurai...
Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. This type of software might collect the data and...
Raja Khurram Shahzad, Syed Imran Haider, Niklas La...
Abstract: Client-side attacks are on the rise: malicious websites that exploit vulnerabilities in the visitor's browser are posing a serious threat to client security, comprom...