Malware Recognition by Properties of Executables

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Year

2009

Author dc:creator

• Redfern, Cory

Contributors dc:contributor

• Bilar, Daniel
• Richard III, Golden
• Winters-Hilt, Stephen

• affinity propagation
• malware
• filter

Repository record dc:identifier

https://scholarworks.uno.edu/td/1013

OAI identifier oai:identifier

oai:scholarworks.uno.edu:td-1994