Date of Award
Richard III, Golden
This thesis explores what patterns, if any, exist to differentiate non-malware from malware, given only a sequence of raw bytes composing either a received file or a fixed-length initial segment of a received file. If any such patterns are found, their effectiveness as filtering criteria is investigated.
Redfern, Cory, "Malware Recognition by Properties of Executables" (2009). University of New Orleans Theses and Dissertations. 1013.