Stochastic identification of malware with dynamic traces
Weil, Scott Vander
MetadataShow full item record
A novel approach to malware classification is introduced based on analysis of instruction traces that are collected dynamically from the program in question. The method has been implemented online in a sandbox environment (i.e., a security mechanism for separating running programs) at Los Alamos National Laboratory, and is in- tended for eventual host-based use, provided the issue of sampling the instructions executed by a given process without disruption to the user can be satisfactorily addressed. The procedure represents an instruction trace with a Markov chain structure in which the transi- tion matrix, P, has rows modeled as Dirichlet vectors. The malware class (malicious or benign) is modeled using a flexible spline logistic regression model with variable selection on the elements of P, which are observed with error. The utility of the method is illustrated on a sample of traces from malware and nonmalware programs, and the results are compared to other leading detection schemes (both sig- nature and classification based). This article also has supplementary materials available online.
The article of record as published may be located at http://dx.doi.org/10.1214/13-AOAS703
Showing items related by title, author, creator and subject.
Bradley, Jessica R.; Garfinkel, Simson L. (Monterey, California. Naval Postgraduate School, 2013-08-31); NPS-CS-13-006Bulk extractor is a program that extracts features such as email addresses, credit card numbers, URLs, and other types of information from digital evidence files. It is a useful forensic investigation tool for many tasks ...
Eagle, Chris (2006-10-31);Virtually every virus and worm that circulates the Internet today is ""protected"" by some form of obfuscation that hides the code's true intent. In the Window's world where worms prevail, the use of tools such as UPX, ...
Development of a computer assisted instruction program for use in teaching basic mathematics to graduate students Bainbridge, John K.; Janiec, Roy T.; Leslie, William H.; Spence, John C. H. (Monterey, California. Naval Postgraduate School, 1965);The mathematical knowledge needed for the successful completion of the Navy Management program at the Postgraduate School is greater than that initially possessed by many of the officers assigned. Due primarily to a lack ...