The objective of this research paper is to apply the classifiers for UNIX User data and find the best algorithm. From the available UNIX User data all 9100 ...
The objective of this research paper is to apply the classifiers for UNIX User data and find the best algorithm. From the available UNIX User data all 9100 ...
This paper applies each of the machine learning algorithms under each classifier category by using the weka tool which is freely available on different sets of ...
Masquerader Classification System with Linux Command Sequences Using Machine Learning Algorithms. ICDEM 2010: 296-302. [+][–]. Coauthor network. maximize. Note ...
Using machine learning, an algorithm can be trained by giving it samples of written text and it could extract important features from that text. We further talk.
This study examines a different method for masquerader detection, a rule-based approach, which compares n-grams of command sequence using a technique known as ...
Masquerader Classification System with Linux Command Sequences Using Machine Learning Algorithms. ICDEM 2010: 296-302. [+][–]. Coauthor network. maximize. Note ...
Masquerader classification system with Linux command sequences using machine learning algorithms. Lecture Notes in Computer Science (including subseries ...
Sequence-based kernel methods showed slightly better performance than generic RBF kernel with same frequency of false alarms. In addition, the composition of ...
This paper presents one-class Hellinger distance-based and one-class SVM modeling techniques that use a set of features to reveal user intent.