… degree of dependency between the different feature sets and … relevant, although their position
in the ranking may change. … of the process category is the most informative feature, even …

… malware, and permission features utilized as effective … straightforward machine learning
techniques that depend on the … of malware detection approaches using data mining techniques.…

… behaviours of malware, resemblance-oriented mining and Machine Learning algorithms are
used [14]. It is dependent on … Data mining methods are utilized for extracting the features of …

… In this approach, features obtained from static and dynamic … In Equation 1, y is called the
dependent variable, and X is … include neural networks, machine learning and data mining. …

… However, there may be other kinds of attacks (eg obfuscated gradient based attacks [8] or
attacks that do not depend on API function calls that we have not tested against). While we do …

… calls features) and further utilized in the malware detection … The velocity and position of
a particle depend on the … He is currently an Associate Professor of big data mining and …

… Therefore, we design a malware detection method that is based on malicious URLs. Our
method … on network traffic and machine learning algorithms are excessively feature-dependent. …

… is another approach where machine learning, data mining and … This work analyses the
malicious features at four levels: … on the presence as well as position of API methods in the FASTA …

… the malware detection in an angle of extracting features that … Data mining and machine
learning techniques are employed … depend on the smaller image set tS or an unknown malware …

… static position … call-based malware detection issue has also been prevented as a result of
the adoption of function selection and clustering method to unify function call graph features of …