A hardware-based technique for efficient implicit information flow tracking

Jangseop Shin, Hongce Zhang, Jinyong Lee, Ingoo Heo, Yu Yuan Chen, Ruby Lee, Yunheung Paek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

To access sensitive information, some recent advanced attacks have been successful in exploiting implicit flows in a program in which sensitive data affects the control path and in turn affects other data. To track the sensitive data through implicit flows, several software and hardware based approaches have been proposed, but they suffer from the non-negligible performance overhead. In this paper, we propose a hardware tracking engine for implicit flow, called the implicit flow tracking unit (IFTU). By adopting the tracking scheme for implicit flow and mapping it to the specialized hardware, our solution can efficiently perform the implicit flow tracking with reasonable area costs.

Original languageEnglish (US)
Title of host publication2016 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450344661
DOIs
StatePublished - Nov 7 2016
Event35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016 - Austin, United States
Duration: Nov 7 2016Nov 10 2016

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Volume07-10-November-2016
ISSN (Print)1092-3152

Other

Other35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
Country/TerritoryUnited States
CityAustin
Period11/7/1611/10/16

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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