Cited By
View all- Nazir SShahzad SMukhtar N(2019)Software Birthmark Design and Estimation: A Systematic Literature ReviewArabian Journal for Science and Engineering10.1007/s13369-019-03718-9Online publication date: 16-Jan-2019
An effective API extraction scheme for dynamic binary similarity comparison
Authors: 
Youngsu Park, Jiman HongAuthors Info & Claims
Pages 355 - 356
Abstract
Software piracy causes serious problems in many software-related industries. Dynamic binary similarity comparison methods can be used to detect software piracy. However, such methods generate large logs that require long periods of time to perform similarity comparisons. In this paper, we propose an extraction method that facilitates effective binary similarity comparisons. Using the cosine similarity and k-gram similarity, the proposed scheme is shown to be effective for binary similarity comparisons.
References
[1]
Myles, G. 2006. Software Theft Detection Through Program Identification. Doctoral Thesis. The University of Arizona.
[2]
Hunt, G. Brubacher, D. 1999. Detours: Binary Interception of Win32 Functions. In Proceedings of the 3rd USENIX Windows NT Symposium (Seattle, Washington, USA, July 12-13, 1999). 135--143.
[3]
Baeza, R. Ribeiro, B. 1999. Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston, MA.
[4]
Ginger Myles and Christian Collberg. 2005. K-gram based software birthmarks. In Proceedings of the 2005 ACM symposium on Applied computing (Lorie M. Liebrock, Ed, March 13-17, 2005). SAC '05. ACM, New York, NY, USA, 314--318. DOI=http://doi.acm.org/10.1145/1066677.1066753
Index Terms
- An effective API extraction scheme for dynamic binary similarity comparison
Recommendations
The optimized grouping value for precise similarity comparison of dynamic birthmark
RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent SystemsSoftware birthmark is a technique for preventing and identifying plagiarism through illegal software modification using feature information from said software. Presently, research on birthmarks differentiates between static birthmarks and dynamic ...
An efficient similarity comparison based on core API calls
SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied ComputingSoftware birthmarks are unique and native characteristics of a binary executable program that can be used for detecting software piracy. API (Application Programming Interface) calls in an MS Windows binary executable can be used as software birthmarks ...
Software similarity analysis based on dynamic stack usage patterns
RACS '15: Proceedings of the 2015 Conference on research in adaptive and convergent systemsAnalysing software similarity is actively utilized for various purposes such as plagiarism detection, malware classification and software refactoring. In this study, we observe that the runtime behavior of stack, which manipulates arguments and local ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2013
529 pages
ISBN:9781450323482
DOI:10.1145/2513228
- Conference Chairs:
- Ching Y. Suen,
- Amir Aghdam,
- Minyi Guo,
- Program Chairs:
- Jiman Hong,
- Esmaeil Nadimi
Copyright © 2013 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- SIGAPP: ACM Special Interest Group on Applied Computing
- ACCT: Association of Convergent Computing Technology
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 October 2013
Check for updates
Author Tags
Qualifiers
- Short-paper
Funding Sources
- Ministry of Culture, Sports and Tourism
- Korea Copyright Commission
Conference
RACS'13
Sponsor:
- SIGAPP
- ACCT
Acceptance Rates
RACS '13 Paper Acceptance Rate 73 of 317 submissions, 23%;
Overall Acceptance Rate 393 of 1,581 submissions, 25%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 67Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 10 Nov 2024
Other Metrics
Citations
Cited By
View all- Nazir SShahzad SMukhtar N(2019)Software Birthmark Design and Estimation: A Systematic Literature ReviewArabian Journal for Science and Engineering10.1007/s13369-019-03718-9Online publication date: 16-Jan-2019
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in