Binary Oriented Vulnerability Analyzer Based on Hidden Markov Model-Reference-Cited by-同舟云学术

Binary Oriented Vulnerability Analyzer Based on Hidden Markov Model

Published:2010 Issue:12 Volume:E93-D Page:3410-3413
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

BAI Hao¹,HU Chang-zhen¹,ZHANG Gang²,JING Xiao-chuan²,LI Ning²

Affiliation:

1. Beijing Institute of Technology

2. China Aerospace Engineering Consultation Center

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E93.D/12/E93.D_12_3410/_pdf

Reference8 articles.

1. [1] U. Bayer, E. Kirda, and C. Kruegel, “Improving the efficiency of dynamic Malware analysis,” Proc. 2010 ACM Symposium On Applied Computing, pp.1871-1878, March 2010.

2. [2] C. Nagy and S. Mancoridis, “Static security analysis based on input-related software faults,” Proc. 2009 European Conference on Software Maintenance and Reengineering, pp.37-46, March 2009.

3. [3] K. Pattabiraman, Z. Kalbarczyk, and R.K. Iyer, “Automated derivation of application-aware error detectors using static analysis: The trusted illiac approach,” IEEE Trans. Dependable and Secure Computing, vol.11, June 2009.

4. [4] H. Saidi, “Logical foundation for static analysis: Application to binary static analysis for Security,” ACM SIGAda Ada Letters, vol.28, no.1, pp.96-102, April 2008.

5. [5] The IDA Pro Dissasember and Debugger, http://www.hex-rays.com/idapro/

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