Progressive User Interfaces for Regressive Analysis – Making Tracks with Large, Low-Level Systems

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Authors
  1. Baldwin, J.
  2. Sinha, P.
  3. Salois, M.
  4. Coady, Y.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Victoria Univ, Victoria BC (CAN) Dept of Computer Science;Concordia Univ, Montreal QUE (CAN) Dept of Computer Science
Abstract
Comprehension of low-level issues, such as malware threats, often relies on dated user interfaces that actually inhibit navigation and exploration of large code bases. These user interfaces often fail to exploit visualization techniques that could signi_cantly alleviate cognitive overhead. An initial usability survey reveals that better and easier analysis of control ow is particularly critical for malware program comprehension. By developing tools that couple high-level views of control ow relationships with more detailed views of call sequences, we demonstrate how improved user interfaces can leverage visualization techniques. These tools go beyond the ubiquitous call graph and have the ability to scale in ways that promote their use for comprehending large, complex systems.
Report Number
DRDC-VALCARTIER-SL-2011-342 — Scientific Literature
Date of publication
01 Jan 2011
Number of Pages
10
DSTKIM No
CA036908
CANDIS No
536555
Format(s):
Electronic Document(PDF)

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